Kafka Jobs.
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Oracle Database Administrator (Digital Marketing sphere)
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Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Their platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time market research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
The Data Operations Team's primary responsibility is to build, support and maintain the data pipelines database infrastructure and maintain efficient data stores. They work on improving reliability, scalability and efficiency of databases, data pipelines and data stores by engineering solutions that hosts the large amount of data the team uses as well as monitor, alert and auto-remediate issues that rises.
Technologies
- Oracle
- MySQL
- RAC/Dataguard
- Linux
- Scripting (Shell/Python/Ruby)
- Vertica, Druid, Kafka, Hadoop, Snowflake
- Redis, Mongo, Aerospike
- Ansible/Puppet
What You'll Do
- Perform database and system patching;
- Ensure regular system maintenance and operational stability;
- Install and configure new machines;
- Maintain and support database clusters, ensuring high availability and performance;
Job Requirements
- Strong expertise in Oracle RAC;
- 5+ years of experience in Oracle RAC and MySQL database administration;
- Solid experience with RAC/Data Guard maintenance, database installation and upgrades, backup and recovery, performance tuning, and security management;
- Hands-on experience with Linux systems;
- Good understanding of system administration principles;
- Experience with other databases (e.g., PostgreSQL, MySQL);
- Familiarity with scripting languages such as Shell, Python, or Ruby;
- Strong communication skills with the ability to clearly explain technical concepts to both technical and non-technical stakeholders;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Internal startup incubator;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
QA Automation Engineer (Travel and Transportation sphere)
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Company Background
Our client is an international team of industry and domain experts focused on transforming the travel and transportation industry through advanced technologies. The company helps industry leaders achieve commercial success by leveraging modern, data-driven and scalable software solutions.
Project Description
The goal is to join a self-organizing QA team and lead testing initiatives across a microservices-based platform. The project involves close collaboration with Product Owners, Architects, and Engineering teams to ensure high-quality software delivery. You will drive testing strategies, automation, and best practices across the full development lifecycle, with a strong focus on API and end-to-end testing.
Technologies
- Python, SQL
- Postman, Datadog
- Robot Framework, Playwright
- REST, Pub/Sub, Kafka
- Kubernetes, GCP
What You'll Do
- Design and implement test strategies and test plans
- Develop and maintain automated test scripts (API, E2E, contract, performance)
- Perform manual testing for complex scenarios
- Implement test automation for microservices architecture
- Integrate automated tests into CI/CD pipelines
- Identify, track, and manage defects
- Maintain test documentation (test cases, plans, reports)
- Collaborate with cross-functional teams to ensure product quality
- Mentor QA engineers and promote best practices
- Monitor quality metrics and continuously improve testing processes
Job Requirements
- 5+ years of experience in QA / Test Automation
- Strong experience with API testing and microservices-based systems
- Hands-on experience with Python
- Deep understanding of manual and automated testing methodologies
- Experience with various testing types (E2E, API, contract, performance, UI)
- Strong knowledge of SQL
- Understanding of cloud platforms (GCP or similar)
- Experience integrating testing into CI/CD pipelines
- Strong analytical and problem-solving skills
- Experience working in Agile environments
- Ability to create and maintain test documentation and strategies
- Strong communication and collaboration skills
- English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Verisign helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services.
We are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career.
Within Verisign, our Data Engineering Team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-Level Data Engineer.
An ideal candidate should deeply care about all steps of data lifecycle (ingestion, enhancement, storage, processing, visualization), be fluent in a JVM-based language, and be eager to learn as needed. They should have an understanding of fundamentals including core Computer Science concepts accompanied by hands-on problem-solving experience ideally involving large-scale distributed systems. Obtaining these competencies often requires an equivalent of a bachelor’s degree and 5 years of practical work experience. We are also open to other career paths.
The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This will often imply regular cross-team collaboration with Verisign Data Platform, Business, Infrastructure, Engineering, Security, and Operations. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs.
Key Responsibilities:
- Design, build and optimize real-time and batch data processing pipelines.
- Develop and maintain data processing components that implement transformation, normalization, and enrichment logic.
- Build and maintain interactive dashboards and visualizations for internal stakeholders.
- Develop and maintain containerized workloads deployed in Kubernetes environments using CI/CD automation.
- Ensure system and data pipelines reliability through monitoring, observability, and alerting practices.
- Troubleshoot complex issues in distributed data systems and resolve performance bottlenecks.
- Support internal customers using data products and analytical platforms.
- Contribute to continuous improvement by applying data engineering best practices, particularly in hybrid cloud environments.
Required Skills
- Strong programming fundamentals with experience in object-oriented or functional programming languages
- Experience working with data lake and analytical technologies (e.g., Iceberg, Druid, Hive, Object Storage).
- Familiarity with streaming data platforms such as Apache Kafka.
- Experience implementing CI/CD pipelines (e.g. Jenkins).
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to collaborate effectively with cross-functional stakeholders.
Preferred Skills
- Proficiency in Java or other JVM-based programming languages (e.g., Scala).
- Hands-on experience with distributed data processing frameworks such as Apache Spark or Akka Streams.
- Experience with containerization and orchestration technologies (Docker, Kubernetes) in production environments.
- Strong understanding of distributed systems concepts and performance optimization.
- Experience working in large-scale, production-grade data environments.
- Experience with delivering business insights by leveraging data visualization tools such as Grafana, Tableau or Superset.
An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and allow Verisign to continuously improve the delivery of business and operational insights:
Qualifications:
- Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
- Prior experience developing and managing production-grade data pipelines
- Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience in addition to a Bachelors or Masters degree, but we are open to alternative career paths
Verisign is an equal opportunity employer. That means we recruit, hire, compensate, train, promote, transfer, and administer all terms and conditions of employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability, or other protected categories under applicable law.
Additional Information:
Our Careers Page
Our Benefits Summary
Verisign in the Community
Our EEO Statement
Our Privacy Notice for Job Applicants/Candidates
Reasonable Accommodations
Staffing agency policy: No fees will be paid for unsolicited resumes submitted to Verisign or our employees by third parties.
Ready to apply?
Apply to Verisign
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.
About the role
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities.
We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better.
For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
Design and Development:
- Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
- Build distributed data pipelines for batch and real-time data processing.
- Design efficient and scalable systems that process large volumes of data.
Big Data Expertise:
- Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
- Work on data transformation, ingestion, and integration for both structured and unstructured data.
- Implement solutions for data lake and data warehouse integrations.
Real-Time Processing:
- Develop and maintain real-time data processing applications to support business-critical use cases.
- Optimize real-time data flows for low latency and high throughput.
Java Expertise:
- Write clean, efficient, and reusable code in Java, adhering to industry best practices.
- Optimize Java applications for performance, scalability, and reliability.
- Leverage Java frameworks such as Spring Boot for backend development.
Monitoring and Optimization:
- Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
- Design and implement performance tuning strategies for large-scale distributed systems.
We're excited if you have
- 7+ years of experience in backend development and distributed data processing.
- Proven expertise in designing and building scalable systems with Java.
- Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
- Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
- Strong understanding of distributed systems and microservices architecture.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).
#LI-JC5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 4 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
#LI-AG18
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 4 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
#LI-AG18
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models—it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.
About the Role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You'll Be Doing
- Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
- Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
- Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
- Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
- Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
We’re Excited If You Have
- 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals. Should be able to write an algorithm with ease
- You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- MS in Computer Science or related field
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Cloud Content Platform
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.
About the role
We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.
For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
- Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
- Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
- Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
- Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
- Remain significantly hands-on with critical features and architectural components
- Drive technical planning, prioritization, and execution aligned with business objectives
- Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
- Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
- Lead efforts in monitoring, observability, performance optimization, and production reliability at scale
We're excited if you have
- 10+ years of software engineering experience with significant time in technical leadership roles
- Proven expertise in building scalable, distributed, and streaming solutions in production environments
- Deep experience with content management systems, media processing, or publishing platforms
- Expert-level proficiency in Java or Scala required; Python experience is a strong plus
- Strong expertise in distributed systems architecture, microservices, and event-driven architectures
- Deep understanding of streaming technologies (Kafka, Redpanda, or similar
- Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
- Track record of leading complex technical projects from conception to production in high-scale environments
- Excellent communication skills and ability to influence technical decisions across teams and organizations
- Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
- Extensive experience with containerization and orchestration (Docker, Kubernetes
- Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems
#LI-SB-5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku pioneered TV streaming and continues to innovate and lead the industry. Continued success relies on investing in the Roku Content Platform, so we deliver high quality streaming TV experience at a global scale. As part of our Content Platform team you join a small group of highly skilled engineers, that own significant responsibility in crafting, developing and maintaining our large-scale backend systems, data pipelines, storage, and processing services. We provide all insights in regard to all content on Roku Devices.
About the Role
We are looking for a Senior Software Engineer with vast experience in backend development, Data Engineering and Data Analytics to focus on building next level content platform and data intelligence, which empowers Search, Recommendation, and many more critical systems across Roku Platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, able to make critical decisions and is excited to work on a core data platform component which is crucial for many streaming components at Roku.
What You’ll Be Doing
- Work closely with product management team, content data platform services, and other internal consumer teams to contribute extensively to our content data platform and underlying architecture.
- Build low-latency and optimized streaming and batch data pipelines to enable downstream services.
- Build and support our Micro-services based Event-Driven Backend Systems & Data Platform.
- Design and build data pipelines for batch, near-real-time, and real-time processing.
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.
We’re excited if you have
- 8+ years professional experience as a Software Engineer.
- Proficiency in Java/Scala/Python.
- Deep understanding of backend technologies, architecture patterns, and best practices, including microservices, RESTful APIs, message queues, caching, and databases.
- Strong analytical and problem-solving skills, data structures and algorithms, with the ability to translate complex technical requirements into scalable and efficient solutions.
- Experience with Micro-service and event-driven architectures.
- Experience with Apache Spark and Apache Flink.
- Experience with Big Data Frameworks and Tools: MapReduce, Hive, Presto, HDFS, YARN, Kafka, etc.
- Experience with Apache Airflow or similar workflow orchestration tooling for ETL.
- Experience with cloud platforms: AWS (preferred), GCP, etc.
- Strong communication and presentation skills.
- BS in Computer Science; MS in Computer Science preferred.
- AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
#LI-SJ1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku runs one of the largest data lakes in the world. We store over 70 PB of data, run 10+M queries per month, scan over 100 PB of data per month.
Big Data team is the one responsible for building, running, and supporting the platform that makes this possible. We provide all the tools needed to acquire, generate, process, monitor, validate and access the data in the lake for both streaming data and batch. We are also responsible for generating the foundational data. The systems we provide include Scribe, Kafka, Hive, Presto, Spark, Flink, Pinot, and others. The team is actively involved in the Open Source, and we are planning to increase our engagement over time.
About the Role
Roku is in the process of modernizing its Big Data Platform. We are working on defining the new architecture to improve user experience, minimize the cost and increase efficiency. Are you interested in helping us build this state-of-the-art big data platform? Are you an expert with Big Data Technologies? Have you looked under the hood of these systems? Are you interested in Open Source? If you answered “Yes” to these questions, this role is for you!
What you will be doing
- You will be responsible for streamlining and tuning existing Big Data systems and pipelines and building new ones. Making sure the systems run efficiently and with minimal cost is a top priority
- You will be making changes to the underlying systems and if an opportunity arises, you can contribute your work back into the open source
- You will also be responsible for supporting internal customers and on-call services for the systems we host. Making sure we provided stable environment and great user experience is another top priority for the team
We are excited if you have
- 10+ years of production experience building big data platforms based upon Spark, Trino or equivalent
- Strong programming expertise in Java, Scala, Kotlin or another JVM language.
- A robust grasp of distributed systems concepts, algorithms, and data structures
- Strong familiarity with the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, etc.
- Experience working with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Trino, Flink, Airflow, Druid, Hive, Iceberg, Delta Lake, Pinot, Storm etc
- Extensive hands-on experience with public cloud AWS or GCP
- BS/MS degree in CS or equivalent
- AI Literacy /AI growth mindset
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered streaming to the TV and continues to innovate and lead the industry. As we strive to influence the future of television globally, including TV advertising, the ongoing success depends heavily on our investment in the Content Management System. With Roku providing millions of movies, episodes, news, and channels, the Content Management System plays a vital role in managing content ingestion, selection, enrichment, and curation. We are seeking engineers capable of developing, designing, and deploying highly scalable, dependable applications, tools, and automation frameworks essential for efficiently handling the vast volume of content in our pipeline.
About the role
Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform, so we deliver high quality streaming TV experience at a global scale.
You will be part of the Roku Content Management System and Tools Engineering team, playing a key role in developing the next generation content management systems that drive content ingestion, selection, management, and curation workflows. These systems are vital for empowering critical functions like Search and Recommendation on the Roku Platform. Your projects will have a direct impact on millions of Roku users globally. Throughout, you'll collaborate with key stakeholders across various Roku engineering teams and take the lead in designing our content management system.
The ideal candidate will demonstrate strong technical leadership, bring endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.
What you’ll be doing
- Lead and grow a high-performing engineering team responsible for content ingestion, enrichment, QC automation, and partner portal systems.
- Architect and scale distributed systems that handle millions of assets and metadata records, ensuring reliability and low-latency processing.
- Collaborate with product and operational partners to deliver a world-class Partner Portal that empowers studios, networks, and content providers to onboard and manage their catalogs seamlessly.
- Drive automation across video, audio, artwork, and metadata QC, integrating AI/ML-based services to improve accuracy and efficiency.
- Partner cross-functionally to streamline content delivery and operational workflows.
- Provide technical direction, conduct code and design reviews, and ensure best practices in performance, observability, and security.
- Manage individual project priorities, deadlines and deliverables
- Recruit and mentor engineers, fostering a culture of technical excellence, innovation, and accountability.
We’re excited if you have
- 5+ years proven track record in hiring, building and leading high-caliber product engineering teams.
- 8+ years of software development experience with deep technical knowledge and expertise in building high availability, large-scale distributed systems and services.
- Proven experience in building scalable, distributed backend systems in cloud environments such as AWS, GCP or Azure.
- Strong understanding of microservice and event-driven architectures, including experience with messaging and streaming frameworks like Kafka, SQS, or similar technologies.
- Strong leadership, collaboration and communication skills in working with cross-functional teams across the organization and delivering on big and ambitious goals.
- Deep understanding of content management, metadata processing, and media workflow automation.
- Experience in designing or integrating partner-facing platforms or portals for content or data management.
- Ability to handle periodic on-call duty as well as out-of-band requests; strong written and verbal communication skills.
- Bachelor’s degree in computer science plus 8 years of experience or equivalent; Master's degree preferred.
#LI-SJ1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
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Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
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Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
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Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
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Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
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Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
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Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
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Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
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Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
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Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
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Expertise with atleast one of the following Apache Druid, StarRocks, and Trino.
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Strong understanding of SOLID principles and distributed systems architecture.
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Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
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Familiarity with additional big data technologies, including Hadoop and Kafka.
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Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
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Strong programming skills in Python, Java, or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
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Expertise in data modeling, schema design, and data visualization tools.
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Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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About Boomi and What Makes Us Special
Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.
Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.
Location: UK, Remote
About Boomi:
Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.
What you’ll do:
-
Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.
-
Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.
-
Uncover and articulate the business value of Boomi's Enterprise Platform
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Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.
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Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.
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Understand the competitive landscape and position Boomi's solutions effectively against competitors.
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Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.
-
Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer, Data Integration and Data Governance).
The Experience you bring:
- Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.
-
Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus
-
Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus
-
Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus
-
Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus
-
A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience
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Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.
-
Working experience with a global system integrator is a big plus.
-
Track record of successful projects in Enterprise accounts.
- Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.
-
Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.
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Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies
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Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.
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Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.
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Ability to uncover customer needs and articulate the business value of solutions effectively.
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Ability to prioritize tasks and foster effective communication in global cross-functional teams.
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Ability to take ownership in highly professional teams.
- Excellent written and verbal communication skills in English.
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Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.
-
A natural passion for creative problem-solving and a curiosity to understand how things work.
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Ability to switch between working independently or collaboratively for extended periods.
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Understand the importance of continuous learning while also being a coach and mentor to other team members.
If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.
#LI-LM1
Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.
All employment decisions are based on business needs, job requirements, and individual qualifications.
Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.
Ready to apply?
Apply to Boomi
Job Summary:
We are looking for a Senior Software Engineer to build production-level reference architecture applications.The ideal candidate will be skilled in building back-end applications in AWS using Java, Springboot, Kubernetes, Kafka, Mongo, understands API and microservice concepts, built DR capabilities, and has utilized AI in generating code and tests. On the front-end, knowledge of Angular and Micro-Frontend approaches are ideal.
Qualifications:
- 5+ years of experience designing and implementing technological solutions using Java and SpringBoot within cloud environments
- Proficiency in Frontend WebApp development building SPA applications in Angular and deploying via AWS CloudFront
- Experience building sync/async/batch back-end microservices.
- Expertise in using AWS services like CloudFront, S3, SQS, Secrets Manager, KMS, API Gateway, IAM, EKS, ECS
- Proficient at debugging full-stack issues including AWS cloud network, access or configuration issues
- Kubernetes expertise running and debugging and optionally in admin/setup of clusters.
- 1+ years Mongo/Atlas experience
- Experience using Kafka
- Experience in designing, building and documenting APIs (i.e. OpenAPI) and building REST and/or GraphQL endpoints and using API Gateways
- Experienced with DR site fail-over, turn-away concepts and DR testing
- Proficiency using AI to generate code, unit test/code coverage and API tests
- Quality engineering experience running API, performance and scalability tests
- Experienced working within Agile SDLC environments (Kanban or Scrum)
Knowledge, Skills, and Abilities
- Good communication skills and collaborates well
- Responsible and trusted employee that raises questions and concerns early and often.
- Comfortable working in an Agile fast-paced environment
- Self-motivated and self-sufficient and is willing to learn and work in environment with only directional guidance and minor hand-holding Strong project management skills, with experience delivering complex automation initiatives.
GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.
It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.
Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
Read our GHX Privacy Policy
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Apply to GHX
Solutions Engineer
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FEQ327R76
Solutions Engineer
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Not just telling them what's possible, but building working prototypes and demos that prove it. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!
This will be an in-office role and candidates must be based in our New York City (Midtown location) office. Relocation assistance will not be provided.
Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.
The impact you will have:
- Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
- Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
- Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
- The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
- Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
- Hands-on experience with Python, Java, or Scala, and proficiency in SQLExperience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
- Aptitude to interact with customers confidently and professionally
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Manager, Software Engineering (Lake Analytics Platform)
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Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.
What You’ll Do
-
Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
-
Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
-
Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
-
Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
-
Work across the engineering organization and with internal and external partners.
-
Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
-
Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.
-
Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.
-
In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.
-
Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.
What We Look For
-
Solid leadership and interpersonal skills.
-
10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
-
Proven track record in stakeholder management, ownership, and successful delivery.
-
Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
-
Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.
-
Capable of mentorship, cross-functional project execution, and individual contribution.
-
Strong interpersonal, written, and verbal communication skills with a growth mindset.
-
Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.
-
Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
Pay Grade - R
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $206,000 - $256,000
This posting is for an existing vacancy
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Ready to apply?
Apply to Affirm
Senior Manager, Software Engineering (Lake Analytics Platform)
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Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.
What You’ll Do
-
Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
-
Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
-
Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
-
Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
-
Work across the engineering organization and with internal and external partners.
-
Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
-
Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.
-
Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.
-
In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.
-
Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.
What We Look For
-
Solid leadership and interpersonal skills.
-
10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
-
Proven track record in stakeholder management, ownership, and successful delivery.
-
Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
-
Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.
-
Capable of mentorship, cross-functional project execution, and individual contribution.
-
Strong interpersonal, written, and verbal communication skills with a growth mindset.
-
Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.
-
This position requires either equivalent practical experience or a Bachelor’s degree in a related field
Pay Grade - R
Equity Grade - 15
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $260,000 - $310,000
USA base pay range (all other U.S. states) per year: $232,000 - $282,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Ready to apply?
Apply to Affirm
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.
As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.
Why Lyft Ads?
- Be part of a high-impact team building the foundations of Lyft’s advertising infra
- Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
- Join a supportive, inclusive environment focused on engineering excellence and business impact.
Responsibilities:
- Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
- Design and implement scalable data models to support analytics, targeting, and measurement use cases.
- Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
- Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
- Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
- Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
- Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
- Learn and grow through mentorship, documentation, and regular team collaboration.
Experience:
- BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
- 3+ years of industry experience in backend or data engineering roles
- Proficiency in at least one backend programming language (e.g., Python, Go, Java)
- Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
- Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
- Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
- Experience with Linux.
Benefits:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
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Apply to Lyft
Sr. Site Reliability Engineer
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Summary:
The Cloud team at Lucid is currently seeking a Senior Site Reliability Engineering role. In this position, the individual will be responsible for providing
reliability to the cloud infrastructure that enabled Lucid Motors' cloud-based services and internal systems.
Responsibilities:
- Provide Reliability Engineering to cloud services deployed and managed in the region of KSA.
- Continuous delivery (CI/CD) using ArgoCD, Jenkins, Maven, and Docker.
- Architect cloud systems in highly available design, ensuring Disaster Recovery (DR) measures are in place.
- Containerization and deployment of microservices and data pipeline on Kubernetes using Helm installation.
- Advocate for a DevOps culture of automation and engineering best practices to enable development teams.
- Auto-scale and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools.
- Performing SRE activities such as availability and reliability monitoring and reports.
- Deploy, configure and maintain tools such as Kafka, Spark, Trino, Airflow, MQTT, and Microservices.
- Setting up infrastructure as a service using Terraform.
- Work and deploy using the codebase repositories in GitLab, along with participation in the peer review activities.
- Support No-SQL databases such as Elastic Search, Mongo, Cassandra, and other open sources services.
- Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
- Articipate in the on-call rotation to keep up the service SLA per the business needs.
- Work with Product Owners, engineering managers, and other team members in Agile Scrum and Kanban mode.
- Take appropriate actions by doing impact analysis during the incidents.
Requirements and Skills:
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent field.
- Can speak English fluently to communicate with teams across geographical regions.
- +6 years of experience in SRE or DevOps Engineering.
- +5 years of experience deploying and maintaining systems on Oracle cloud (OCI), and Amazon web services (AWS).
- +3 years of experience in Terraform.
- +3 years of experience in Kubernetes.
- +3 years of experience with tools such as Jenkins, ArgoCD, etc. to build automation and CI/CD pipelines.
- Professional experience in Programing or scripting languages using Python, Go, Bash/Shell, or others.
- Experience in administrative operations knowledge in RDBMS (e.g. PostgreSQL, MySQL), and NoSQL databases (e.g. MongoDB).
- Moderate experience in distributed computing for running data systems using Spark, Hive, Zookeeper, and Kafka.
- Moderate experience in debugging tools and troubleshooting performance bottlenecks at the infrastructure or at the application tier.
- Good to have experience with Config Management using Ansible, Chef, Puppet, or others.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Introduction:
Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?
At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.
And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.
We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.
Job Summary
We are looking for a Principal Software Engineer to drive technical excellence and scalability across our SaaS Employee Communications platform.
In this role, you will act as a hands-on technical leader, designing and delivering complex features, improving system performance and reliability, and mentoring engineers across the team. This position bridges Senior Engineers and Software Architects, translating architectural vision into robust, maintainable implementations while influencing architectural evolution through strong technical judgment and execution.
The ideal candidate brings deep SaaS expertise, hands-on experience with AWS managed & serverless technologies and a solid understanding of distributed system design.
Key Responsibilities
- Lead the design and development of complex, high-impact systems and services.
- Translate architectural blueprints into scalable, production-grade solutions.
- Design and implement microservices and APIs with a strong focus on scalability, observability, and reliability.
- Own major features or components end-to-end, including performance optimization, resilience, and cost efficiency.
- Mentor senior and mid-level engineers, conduct code reviews, and uphold best practices in coding, design, testing, and CI/CD.
- Collaborate closely with Architects, Product Managers, and DevOps to ensure architectural alignment and high-quality delivery.
- Build and optimize services using AWS serverless, event-driven, and container-based technologies (Lambda, ECS, SNS, SQS, DynamoDB, EventBridge, RDS).
- Ensure systems adhere to authentication, authorization, and compliance standards (OAuth2, OIDC, RBAC).
- Identify opportunities to improve system performance, scalability, and developer productivity.
- Advocate for continuous learning, experimentation, and innovation within the engineering organization.
- Maintain accountability for coding standards, engineering processes, and technical excellence.
- Use metrics and analytics to anticipate future engineering and scalability needs.
- Ensure compliance with data protection and privacy requirements, including GDPR, HIPAA, and PII best practices.
- Proactively identify and address technical debt and long-term improvement opportunities.
Education & Experience
- 8+ years of software development experience with demonstrated technical leadership in complex, distributed systems.
- Demonstrated strong hands-on experience in Java, with expertise in Spring Boot, concurrency, multi-threading, and RESTful service development.
- Proven experience with modern front-end frameworks such as React or Angular is mandatory for this full-stack role.
- Exposure to Node.js and TypeScript, including asynchronous programming and modular architecture is nice to have.
- Proven understanding of distributed systems, multi-tenancy, RBAC, and SaaS security principles.
- Hands-on experience with microservices architecture, Docker, Kubernetes, and AWS.
- Experience with observability best practices, including metrics, logging, tracing, and alerting.
- Strong knowledge of event-driven systems (Kafka, SNS/SQS, EventBridge, Kinesis).
- Experience with GraphQL federation and implementation.
- Experience with CI/CD pipelines, Git-based workflows, and automated testing (JUnit, Jest, Playwright, etc.).
- Proven ability to design scalable, high-performance, fault-tolerant systems in multi-tenant SaaS environments.
- Familiarity with GDPR and data privacy standards is a plus.
- Experience with infrastructure-as-code tools (Terraform, CDK) and modern observability stacks.
- Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
- Passion for continuous learning and a strong commitment to engineering excellence.
- Comfortable leading by example and driving best practices across teams.
Who We Are
- We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
- We live the Poppulo values each day, as they are key to everything we do.
Bring Your Best Self
We show up authentically, are self-aware and always strive to be better.
- See it. Own it. Solve it.
We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. - Together We’re Better
We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team. - Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
- Poppulo is an equal opportunity employer.
- Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
Ready to apply?
Apply to Poppulo
About Boomi and What Makes Us Special
Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.
Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.
Location: France, Remote
About Boomi:
Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.
What you’ll do:
-
Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.
-
Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.
-
Uncover and articulate the business value of Boomi's Enterprise Platform
-
Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.
-
Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.
-
Understand the competitive landscape and position Boomi's solutions effectively against competitors.
-
Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.
-
Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer, Data Integration and Data Governance).
The Experience you bring:
-
Excellent written and verbal communication skills in English and French.
-
A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience
- Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.
-
Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.
-
Track record of successful projects in Enterprise accounts
-
Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.
-
Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.
-
Competitive knowledge is a big plus
-
Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies
-
Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.
-
Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus
-
Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus
-
Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus
-
Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus
-
Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.
-
Ability to uncover customer needs and articulate the business value of solutions effectively.
-
Ability to prioritize tasks and foster effective communication in global cross-functional teams.
-
Ability to take ownership in highly professional teams.
-
Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.
-
A natural passion for creative problem-solving and a curiosity to understand how things work.
-
Ability to switch between working independently or collaboratively for extended periods.
-
Understand the importance of continuous learning while also being a coach and mentor to other team members.
If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.
#LI-LM1
Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.
All employment decisions are based on business needs, job requirements, and individual qualifications.
Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.
Ready to apply?
Apply to Boomi
Sr. Software Engineer – Platform Performance & Resilience (AI-Enabled)
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Toshiba Global Commerce Solutions is seeking a Senior Software Engineer – Platform Performance & Resilience that plays a key role in engineering performance, resilience, and observability across a three‑tier distributed architecture spanning edge devices, in‑store servers, and cloud services. This role uses AI‑enabled automation to validate and enforce production‑grade reliability, with the ultimate goal of delivering measurable system stability at retail scale. The position operates at the intersection of distributed systems architecture, performance engineering, reliability validation, and intelligent automation.
This role is a hybrid role in Durham, NC office. On-site interviews will be required.
Responsibilities:
Architect Reliability Across Edge–Store–Cloud
- Design and implement platform mechanisms that ensure transaction integrity and availability across POS terminals, store middleware, and cloud services.
- Define and validate failure‑mode strategies for intermittent connectivity, tier isolation, data replay, and synchronization conflicts.
- Engineer patterns that prevent cascading failures and support graceful degradation under real‑world load.
Engineer Performance at Retail Scale
- Define latency budgets and performance envelopes across all tiers.
- Build systems that measure and validate throughput, concurrency limits, and resource saturation.
- Collaborate with development teams to eliminate bottlenecks before production.
Build Automated Resilience Validation
- Develop AI‑enabled systems that automatically generate and execute performance and resilience validation scenarios.
- Integrate non‑functional quality gates into CI/CD workflows.
- Continuously evaluate timeout, retry, circuit breaker, and backoff strategies under stress.
Elevate Observability & Signal Quality
- Architect structured telemetry across edge, store, and cloud tiers.
- Ensure end‑to‑end transaction traceability.
- Improve root‑cause detection by strengthening monitoring signal‑to‑noise ratio.
Own Engineering Outcomes End‑to‑End
- Produce technical designs and failure‑mode analyses.
- Implement and deploy platform components in Node.js and companion services in Java.
- Drive production‑readiness improvements based on performance data.
Required Qualifications:
- 4–6+ years of professional software engineering experience.
- Strong proficiency in Node.js and Java.
- Proven experience in performance engineering, reliability engineering, or distributed systems architecture.
- Demonstrated experience designing systems with deterministic timeouts, retry/backoff strategies, circuit breakers, and concurrency controls.
- Experience modeling multi‑tier systems (edge, middleware, cloud).
- Solid understanding of SLOs, SLIs, and non‑functional validation.
- Experience deploying services in Kubernetes‑based cloud environments.
- Strong debugging and profiling skills for distributed systems.
Preferred Qualifications:
- Experience building automated resilience or fault‑injection systems.
- Familiarity with event‑driven architectures (Kafka, Pub/Sub, MQ).
- Experience implementing structured observability frameworks.
- Exposure to AI‑enabled automation or workflow orchestration.
- Experience optimizing systems in intermittently connected environments.
Toshiba Global Commerce Solutions is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe's Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ's, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader.
The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let's get together to drive the new economy.
Toshiba Global Commerce Solutions, Inc. offers a competitive salary and generous benefits package including the following:
- Group health coverage (medical, dental, & vision)
- Employee Assistance Programs
- Pre-tax spending accounts
- 401(k) plan (with company match)
- Company provided life insurance
- Pet Insurance
- Employee discounts
- Generous paid holiday schedule, paid vacation & sick/personal days
EEO:
Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation
DIVERSITY, EQUITY & INCLUSION:
We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore, we're committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency). We're passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future.
Ready to apply?
Apply to Toshiba Global Commerce Solutions - External
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Amsterdam for our hybrid working model. This candidate would ideally be a Dutch speaker.
As an ideal candidate, you will have:
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
- [Placeholder for required security clearance]
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 426081
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in London for our hybrid working model.
As an ideal candidate, you will have:
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 426207
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Paris for our hybrid working model.
As an ideal candidate, you will have:
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 426224
Ready to apply?
Apply to MongoDB
About Boomi and What Makes Us Special
Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.
Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.
Location: Spain, Barcelona, Hybrid or Madrid, Remote
About Boomi:
Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.
What you’ll do:
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Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.
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Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.
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Uncover and articulate the business value of Boomi's Enterprise Platform
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Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.
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Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.
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Understand the competitive landscape and position Boomi's solutions effectively against competitors.
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Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.
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Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer, Data Integration and Data Governance).
The Experience you bring:
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Excellent written and verbal communication skills in English and Spanish.
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A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience
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Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.
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Working experience with a global system integrator is a big plus.
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Track record of successful projects in Enterprise accounts.
- Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.
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Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.
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Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.
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Competitive knowledge is a big plus
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Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies
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Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.
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Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus
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Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus
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Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus
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Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus
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Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.
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Ability to uncover customer needs and articulate the business value of solutions effectively.
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Ability to prioritize tasks and foster effective communication in global cross-functional teams.
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Ability to take ownership in highly professional teams.
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Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.
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A natural passion for creative problem-solving and a curiosity to understand how things work.
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Ability to switch between working independently or collaboratively for extended periods.
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Understand the importance of continuous learning while also being a coach and mentor to other team members.
If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.
#LI-LM1
Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.
All employment decisions are based on business needs, job requirements, and individual qualifications.
Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.
Ready to apply?
Apply to Boomi
Senior Software Engineer - Event Sourcing & Stream Processing
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.
Your Role:
Tenable is seeking a Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.
We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.
To be considered for this role, you must meet one of the following criteria:
- Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
- Hybrid: Ability to commute to our Boston, MA office.
- Remote: Currently reside in the San Francisco Bay Area, CA
Your Opportunity:
- Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
- Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
- Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
- Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.
What You’ll Need:
- 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
- Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
- Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
- To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office, Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
- Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
- Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
- DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
- Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.
And Ideally:
- Experience with Event Sourcing or CQRS patterns.
- While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.
#LI-LP1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Senior Software Engineer
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.
Your Role:
Tenable is seeking a Full Stack Software Engineer to join our core product engineering teams. You will help design, develop, and maintain cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance. As a Software Engineer, you will work across the stack , building microservices, APIs, and user interfaces , leveraging modern frameworks and cloud technologies. Your contributions will directly enable customers to secure their applications, infrastructure, and digital assets at scale.
Your Opportunity:
- Implement new features, fix bugs, and enhance the scalability and reliability of our systems.
- Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products.
- Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products.
- Contribute ideas to improve Tenable’s architecture, development processes, and technology stack.
- Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.
What You’ll Need:
- 2+ years of experience as a Full Stack Software Engineer in SaaS or cloud-based applications.
- Hands-on development experience with Java or Kotlin.
- Proficiency with at least one modern UI framework (React, Angular, or Vue.js).
- Solid understanding of RESTful API development and microservices architectures.
- Familiarity with AWS or other cloud platforms.
- Experience with databases (SQL or NoSQL such as PostgreSQL, DynamoDB, Elasticsearch).
- Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and Git-based workflows.
- Strong problem-solving skills with a focus on building reliable, performant, and secure applications.
- Good communication skills and a collaborative mindset.
- Passion for continuous learning and keeping up with emerging technologies.
And Ideally:
- Experience with event-driven systems (Kafka, SQS, SNS, etc).
- Familiarity with infrastructure-as-code and observability tools (Terraform, Prometheus, Datadog, ELK, Splunk, PagerDuty).
- Prior experience in cybersecurity, DevSecOps, or related domains.
- Exposure to multi-tenant SaaS or hybrid cloud architectures.
#LI-MS1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Data Engineer (Digital Marketing sphere)
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Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
Data Management Platform is the core system that receives, processes and provides information to other external DMPs and real time platforms. The purpose of DMP is to store the connection between users/devices and their respective behavioral categories. Further this data is used by the other teams for the analytics and digital ad targeting. Team roadmap includes developing a new system based on the streaming architecture with a relevant tech stack.
Technologies
- Spark
- Scala
- Vertica
- Kafka
- Airflow
- K8S
- Python, Java (preferable)
What You'll Do
- Own end-to-end development, from design to production, with a focus on innovation and efficiency;
- Lead and mentor developers on complex projects impacting core business systems;
- Contribute to the design and development of next-generation data solutions;
- Implement high-scale big data solutions and contribute to platform infrastructure and architecture;
- Research and evaluate core technologies, integrations, and external APIs;
- Collaborate with cross-functional stakeholders, including Product, Engineering, and data providers;
- Participate in an off-hours pager duty rotation;
Job Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience;
- 4+ years of software development experience;
- 2+ years of experience with Apache Spark;
- 2+ years of experience with Scala (preferred) and/or Python or Java;
- Experience working with high-performance, large-scale, or distributed data systems;
- Experience with SQL and NoSQL databases;
- Experience with Kubernetes;
- Experience with Git;
- Experience building and optimizing data pipelines, ETL processes, and streaming systems (e.g., Hadoop, Spark, Kafka) is a plus;
- Familiarity with tools such as GitLab, Grafana, InfluxDB, and Kibana is a plus;
- Strong communication skills and ability to work effectively in a team;
- English level: B1+ or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
- Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests.
- Design the next generation of Stripe products to meet the high growth needs of our company and customers.
- Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints.
- Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards.
- Act as the team’s representative during technical meetings, and understand how their systems interact with the broader landscape within the company.
- Mentor early-career engineers to help them grow and spin up into independent engineers.
- Construct core engineering tenets and design principles for their team’s projects.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus 3 years of software developer or related work experience.
- Must also have 3 years of experience in each of the following:
- Building software solutions using Ruby, Java, and Typescript;
- Defining storage schemas for relational, document or columnar databases;
- Querying data stores using SQL;
- Building and integrating service endpoints using GRPC, REST,or GraphQL; and
- Building systems integrated with event processing technologies including SQS or Kafka.
Salary: $190,400 - $285,600/yr.
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
50% Telecommuting Permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA03
#LI-DNI
Ready to apply?
Apply to Stripe
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
SoFi is launching a brand-new commercial banking product — and we need a Staff Software Engineer to be its technical backbone.
Commercial Banking is SoFi's entry into institutional commercial banking. We're building the infrastructure that lets large institutional clients in crypto, fintech, and enterprise finance manage their money at SoFi — real-time payments, multi-account treasury management, and a closed-loop settlement network that operates 24/7/365. The systems you design will handle real institutional money from day one. The network you help architect — SEN (SoFi Exchange Network) — could become the default settlement rail for the industry.
As the Senior Staff Engineer on the Commercial Banking team, you'll be the technical leader the team looks to for the hardest problems — system design, API contracts, payment correctness, performance, and reliability. You'll set the technical bar, make architectural decisions that stick, and write the code that proves them out. This is a hands-on role: you'll be deep in the codebase while also shaping the direction for the engineers around you.
What You'll Do
Architect and Build
- Own the technical architecture for Commercial Banking's core systems — payment orchestration, client onboarding workflows, API Gateway, real-time settlement, and the services that power the client-facing experience.
- Design and implement the SoFi Exchange Network (SEN) — a real-time, 24/7/365 closed-loop payment network enabling instant settlement between SoFi commercial clients.
- Build the client onboarding orchestrator: a stateful workflow engine that provisions entities, bank accounts, entitlements, payment rails, limits, and pricing — with retry, rollback, and idempotency guarantees.
- Design enterprise-grade identity, RBAC, and maker/checker approval systems that support complex organizational structures with scoped account access, per-rail permissions, and configurable payment limits.
- Define API contracts that institutional clients will integrate against — getting the abstractions, error models, and versioning right from day one.
- Architect a sandbox environment that realistically simulates every payment rail, enabling clients to build and test their integrations with confidence.
Set the Technical Standard
- Establish system design patterns, coding standards, and engineering best practices for the Commercial Banking codebase.
- Drive technical decisions on data modeling, service boundaries, consistency guarantees, and failure handling across payment workflows where correctness is non-negotiable.
- Own observability strategy — structured logging, distributed tracing, alerting, and dashboards that give the team confidence in production.
- Lead technical design reviews and code reviews. Raise the quality bar and make it stick through example, not just feedback.
- Identify and address technical debt proactively — knowing when to take shortcuts for speed and when to invest in the right long-term solution.
Lead Through Influence
- Be the go-to technical leader on the team — the person engineers come to when they're stuck on a design problem, a performance issue, or a tricky integration.
- Mentor engineers at all levels. Help senior engineers grow toward staff-level thinking; help mid-level engineers develop stronger system design instincts.
- Partner with engineering management to shape the technical roadmap, estimate complexity, and sequence work for maximum impact.
- Drive cross-team technical alignment with other engineering teams at SoFi — working across identity, entitlements, accounts, payments, and core banking systems to ensure clean integration points.
- Represent the team's technical perspective in discussions with Product, Compliance, Risk, and Operations — translating business requirements into sound engineering decisions.
Make It Production-Ready
- Design systems that handle real money with the reliability and correctness that institutional clients demand — every transaction must be accounted for, every failure mode handled.
- Build for scale from day one — systems that work for early clients but are architected to support hundreds without rework.
- Own the technical side of client go-live: integration health checks, performance validation, monitoring readiness, and production cutover.
- Drive incident response and post-mortems. Build a culture where production issues are learning opportunities, not blame events.
What You'll Need
- 7+ years of software engineering experience, with a sustained track record of technical leadership on complex, production-critical systems.
- Deep distributed systems expertise — you can design services end-to-end, reason about consistency and ordering guarantees, and make pragmatic tradeoffs between correctness, availability, and latency.
- Hands-on mastery of JVM-based stacks (Kotlin or Java, Spring Boot) and modern infrastructure (Kubernetes, AWS/GCP, Terraform, CI/CD pipelines).
- Strong API design sensibility — you've designed APIs that external consumers depend on, and you understand the long-term cost of getting contracts wrong.
- Experience with stateful workflow systems — you've built or operated long-running, retryable, idempotent workflows in production.
- Proven ability to lead without authority — you influence technical direction through the quality of your ideas, your code, and your ability to bring people along.
- Excellent communication skills — you can write clear technical design documents, explain complex systems to non-technical stakeholders, and make your reasoning legible to the team.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Nice to Have
- Experience building financial systems — payments, ledger, treasury, banking, or fintech where auditability, correctness, and regulatory compliance are table stakes.
- Experience building real-time payment systems (FedWire, FedNow, RTP, ACH origination) or settlement networks.
- Background in commercial or institutional banking (treasury management, FBO/omnibus accounts, correspondent banking).
- Experience with crypto-adjacent financial infrastructure — custodian banking, exchange settlement, stablecoin operations.
- Familiarity with AML/KYB compliance workflows and transaction monitoring in a regulated banking environment.
- Experience building developer-facing products — API gateways, developer portals, sandbox environments, webhook infrastructure.
- Prior work with workflow orchestration engines (Temporal, Cadence, Step Functions) for long-running stateful processes.
- Experience with event-driven architectures — Kafka, event sourcing, or CQRS patterns in high-throughput systems.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
Backend Software Engineer — Data Platform & AI Data Products
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About the Role
You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.
Responsibilities
- Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).
- Help enable DIY workflows for teams across the company:
-
- Define/publish events and schemas
- Create/consume streams and subscriptions
- Establish access models (authz, row/field-level controls where applicable)
- Manage dataset/catalog metadata, lineage, versioning, and retention
- Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.
- Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.
- Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.
- Partner cross-functionally with ML/LLM, infra, security, and product teams to define crisp contracts and deliver durable platform primitives.
Requirements
- 0–4 years building production or project-based backend systems (internships, coursework, and personal projects count).
- Solid fundamentals in at least one backend language (e.g., Go, Python, Java, Rust) and some exposure to API design (REST).
- Eagerness to own work end-to-end: design docs, implementation, testing, deployment, and iteration based on real usage.
- Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, and a desire to build systems that are easy to evolve.
- Basic data modeling and SQL skills, and some familiarity with at least one of:
-
- Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
- Workflow/compute (Airflow/Spark/Flink/Trino, etc.)
- OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)
- AI augmentation curiosity:
-
- You’re curious about how engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, retrieval/knowledge grounding), and you’re eager to apply this to your own work.
- You understand that AI tools can fail or create issues, and you’re thoughtful about when and how to apply them.
Nice to have
- Any exposure to self-serve platforms, developer tooling, or multi-tenant services.
- Coursework or projects involving LLM/AI products: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.
- Passion for good quality code, highly readable, SOLID principles, design patterns, Domain Driven Design.
- Awareness of security and governance basics: least-privilege access, auditability, data retention, PII handling.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $120,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
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Sr Software Engineer, Data Foundations
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.
Data Foundations leads the path on building the central platform-level foundation and infrastructure that powers SoFi's entire data ecosystem. Their scope spans Infrastructure & Core Primitives and Platform Operations — essentially the backbone that enables all data capabilities across the organization. Key qualifications of this role include:
- Leading the technical evolution of one or more key platform subsystems.
- Resolving problems in the platform design and implementation that weren’t clearly anticipated, taking requirements with ambiguity and proposing durable technical solutions.
- Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
- Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
- Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
- The ability to create clear design and operational documentation.
- Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.
What You’ll Do
As an emerging leader within our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.
What You’ll Need
- Bachelor's or Master's degree in Computer Science, or Software Engineering
- 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
- Proficient coding in Java, Kotlin, or other similar object-oriented programming language.
- Proficient working with GIT and related CI/CD systems.
- Experience with public cloud compute, storage, and infrastructure.
- Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
- Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
- Deep understanding of relational and document database fundamentals.
- Deep understanding of fundamental distributed systems concepts.
Nice To Have
- Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
- Experience with microservices design principles and architecture.
- Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).
We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
This is Engineering at Lattice
Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.
As a Data Platform Engineer, you will play a pivotal role in designing and maturing Lattice’s centralized data platform — starting with a modern data lakehouse built on AWS. This is an opportunity to be a founding member of a new team, build the backbone of our data ecosystem, and directly influence the intelligence and interconnectedness of our products.
You will architect and implement foundational data infrastructure that enables scalable storage, reliable data processing, and secure access across the organization. In addition to building the lakehouse itself, you will design and maintain a set of reusable connection and query utilities that empower internal stakeholders to interact with the platform efficiently and safely.
What You Will Do
- Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
- Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
- Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
- Shape data governance practices ensuring access to data is secure, compliant, and high-quality.
- Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.
What You Will Bring to the Table
- 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project.
- Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
- Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
- Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
- Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
- Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users
Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.
The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.
Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.
Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.
#LI-Remote
About Lattice
Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies.
Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto.
Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy.
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Apply to Lattice
Staff II Software Engineer, Data Ingestion
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About the Team:
We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.
The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.
We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.
If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.
StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.
What You’ll Be Doing:
- Own and lead large technical initiatives end-to-end, from design through production and monitoring
- Provide technical leadership and mentorship to engineers across the team
- Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
- Contribute hands-on as needed while enabling the team to execute effectively
- Build and maintain event ingestion pipelines using streaming technologies like Kafka
- Work with high-volume storage systems and databases to persist and serve data efficiently
- Partner with Data, ML, Product, and Platform teams to support evolving requirements
- Improve code quality, testing practices, system reliability, and observability
- Participate in design reviews, code reviews, and architectural discussions
- Balance and prioritize projects to maximize impact and align with company objectives
What You’ll Bring to the Table:
- Extensive experience building distributed systems and high-throughput backend services
- Proven ability to lead technical direction and drive large, cross-team initiatives
- Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
- Collaborative mindset with the ability to influence across teams
- Ability to think strategically, lead technically, and drive high-impact, scalable solutions
- Hands-on experience with streaming systems (Kafka or similar)
- Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
- Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
- Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems
#LI-TM8
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Senior Software Engineer AI-Native, backend Foundry
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About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About The Team
The Foundry team is building Life360’s partner ecosystem and developer platform - the infrastructure that allows external partners to integrate with Life360 securely and at scale. We own the full integration stack: partner-facing APIs, authentication flows, webhook receipt and delivery, and the gateway layer that decouples partner contracts from internal systems. Our goal is to turn Life360 from a single-product app into an extensible platform that partners across mobility, safety, wearables, and more can build on.
We also own critical shared infrastructure that the rest of the company depends on - NetworkKit, authentication, and environment standardization across all mobile clients. We’re a cross-platform team spanning Cloud, Android, and iOS, and we think in systems: stable API contracts, sandboxed environments, versioning policies, and operational SLAs. The developer platform we’re building is modeled on the best of Stripe, Twilio, and Squarespace - designed so that onboarding a new partner takes weeks, not months.
About the Job
Life360 is hiring an AI-Native Backend Focused Engineer — a senior engineer who doesn’t just use AI tools, but thinks natively in them. You’ll be central to how the Foundry team builds its products, develops its ecosystem tooling, and how we use AI for development in the future.
You’ll design and build features and systems to help grow Life360s partner ecosystem, helping take our platform from zero to one - building out auth, system proxying, alerting and monitoring, everything.
You’ll build and evolve our modern AI-Native engineering workflows — from how we write code, to how we run standups, to how we think about team velocity. You’ll evolve the standard others follow.
For candidates based in the US, the salary range for this position is $129,000 to $192,000 USD. For candidates based out of Canada, the salary range for this position is 149,500 to 177,500 CAD.
Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What You’ll Do
- Design and build high-quality features integrating third party data and systems.
- Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
- Help define and codify AI-Native engineering practices for the Foundry team, establishing playbooks the broader org can adopt.
- Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
- Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
- Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
- Participate in on-call rotation and incident response.
- Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
- Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
- Support performance, reliability, and accessibility across the features you own.
What We’re Looking For
Technical foundation:
- 6+ years of backend software engineering experience
- Strong proficiency with Java and Spring Boot (this is our primary stack)
- Experience with Apache Kafka or similar distributed streaming platforms
- Solid understanding of distributed systems concepts: consistency, fault tolerance, replication, and data durability
- Comfortable with cloud infrastructure (AWS preferred) and containerized deployments
- Heavy user of agentic workflows, understands research-plan-implement cycle but doesn’t outsource thinking to agents
What matters most to us:
- Growth mindset - You structure problems precisely, you learn quickly, you can show interest outside “your lane”, and you are always happy to try something new
- Collaborative approach - You communicate clearly, work well across teams, and value diverse perspectives
- Ownership mentality - You take responsibility for your work from design through production and beyond
- AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time
- Thoughtful communication - You can explain technical tradeoffs and articulate ideas effectively
- We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience.
Nice-to-Have
- Background in stream processing frameworks (Kafka Streams, Flink)
- Experience with schema registries and schema evolution strategies
- Knowledge of Confluent Platform or Confluent Cloud
- Understanding of CI/CD patterns, GitHub Actions, and artifact management (Maven, Nexus)
- Experience with observability tooling (Prometheus, Grafana, DataDog)
- Previous work on ecosystems or integration tooling
AI-Native Expectations
We use AI coding tools as a professional standard on this team. Here's what that means in practice:
- Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
- Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
- Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
- Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
- Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
Our Benefits
- Competitive pay and benefits
- Medical, dental, vision, life and disability insurance plans (US and Canada)
- 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
- Employee Assistance Program (EAP) for mental well-being
- Flexible PTO, plus several company-wide days off throughout the year
- Winter and Summer week-long synchronized company shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership for your preferred circle
- Free Tile Products
Life360 Values
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.
- Be a Good Person — We have a team of high-integrity people you can trust.
- Be Direct With Respect — We communicate directly, even when it’s hard.
- Members Before Metrics — We focus on building an exceptional experience for families.
- High Intensity, High Impact — We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!
#LI-Remote
Ready to apply?
Apply to Life360
Senior Software Engineer II AI-Native, Messaging
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About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About the Team
The Messaging team owns the backbone of Life360's real-time infrastructure — the event streaming and data pipelines that keep millions of families connected. We process billions of events every day across location updates, safety alerts, and the push notifications that make the product feel instant.
We are a small, platform-focused, AI-native team. AI isn't a productivity add-on here — it's how we work. Every engineer on the team directs AI agents as a core part of their daily loop: scaffolding services, drafting Terraform, exploring unfamiliar codebases, writing migration scripts, and reviewing diffs. We move faster and go deeper on hard distributed systems problems because we've built the habits, prompts, and guardrails to make agentic work reliable.
Current initiatives include the MSK-to-Confluent Cloud migration, organization-wide schema registry and Protobuf governance, and the next generation of Life360's streaming services. Our stack is Kafka and Kafka Streams, Spring Boot (Java 21), Go, Protobuf/gRPC, Terraform, and AWS.
About the Job
This is a hands-on senior engineering role for someone who has already made AI a first-class collaborator in their work. You'll design streaming services, write and review code, own production incidents, and ship infrastructure — and you'll do all of it with agents running in parallel alongside you. We're looking for an engineer who already decomposes work into agentic workflows, critiques agent output with real technical authority, and ships production code faster because of it.
You'll help shape the team's technical direction on Kafka-first streaming infrastructure and the next phase of our high-availability roadmap. You'll also help evolve how the team itself works with AI — the prompts, the evals, the review patterns, the escape hatches when agents go sideways.
What You'll Do
- Design, build, and operate streaming services on Kafka, Spring Boot, and Spring Cloud Stream — directing agents to scaffold, test, and iterate, and owning the outcome end-to-end.
- Develop and manage Kafka connectors for data integration (DynamoDB, S3, NSQ, custom sinks/sources) and the SMT chains that keep them honest.
- Own schema management and evolution across Protobuf, Schema Registry, and multi-language code generation — including the Gradle/Nexus publishing pipelines that back it.
- Drive platform migrations (MSK → Confluent Cloud, NSQ → Kafka) including dual-cluster consumer patterns, VPC peering, and cutover playbooks.
- Build monitoring, alerting, and operational tooling (DataDog, PagerDuty, Prometheus) that catch problems before pages fire.
- Write infrastructure as code in Terraform, ship it through CI/CD, and participate in the on-call rotation and incident response for the services you own.
- Work AI-natively as the default mode of operation. Run multiple agents in parallel. Write prompts with real context and constraints. Review every diff like you wrote it yourself. Know when to throw the agent's output out and do it by hand.
- Evolve the team's AI-native practices — prompt libraries, evals, review rituals, and the guardrails that make all of it safe at production scale.
- Mentor teammates, raise the bar on technical standards, and contribute to the team's API design, data contracts, and integration patterns.
Compensation
For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is 171,500 to $201,000 CAD.
Note: We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What We're Looking For
Technical foundation
- 6+ years of backend software engineering experience.
- Strong proficiency with Java and Spring Boot — this is our primary stack and you should be comfortable reading, writing, and debugging it without assistance.
- Production experience with Apache Kafka or a comparable distributed streaming platform (Pulsar, Kinesis, Pub/Sub).
- Solid grounding in distributed systems concepts: consistency, fault tolerance, replication, delivery semantics, and data durability tradeoffs.
- Comfortable with AWS (or equivalent cloud) and containerized deployments on Kubernetes.
- Hands-on experience with Terraform or comparable IaC for real, multi-environment infrastructure.
AI-native working style
Specifically, we're looking for:
- Prompting excellence — you give agents context, constraints, and expected outcomes. You don't type "do X" and hope.
- Critical validation — you can explain every line the agent wrote, identify where it succeeded and where it fell short, and correct it. You treat AI output as a draft from a smart junior, not an oracle.
- Agentic decomposition — you break ambiguous problems into discrete, verifiable sub-tasks that an agent can actually execute, rather than handing it a blob of intent.
- Parallel workstreams — you run multiple agents or sessions concurrently on independent tasks instead of hand-holding one at a time.
- Troubleshooting with AI, not around it — when an agent hallucinates an API, suggests a deprecated library, or produces code that compiles but is wrong, you diagnose and recover. The interview is designed so things will go wrong; how you get unstuck is a signal.
- Technical authority — you understand the underlying tech (Kafka internals, Protobuf wire format, JDBC, SASL_SSL auth, partitioning semantics) well enough to catch the agent when it's confidently wrong.
What matters most to us
- Problem-solving mindset — you structure ambiguous problems precisely before reaching for a tool, AI or otherwise.
- Ownership — you take a feature from design through production and through the 3 a.m. page that follows.
- Direct, respectful communication — you can explain technical tradeoffs clearly, push back when you disagree, and change your mind when the evidence changes.
- Collaborative — you work well across teams and value perspectives that aren't your own.
Nice-to-have
- Go experience (we use it for CLI tools and some services).
- gRPC and Protocol Buffers in production, including schema evolution strategies.
- Stream processing frameworks — Kafka Streams, Flink (SQL or DataStream).
- Confluent Platform or Confluent Cloud specifics (Schema Registry, Connect, ksqlDB, Stream Governance).
- CI/CD with GitHub Actions, artifact management (Maven, Nexus).
- Observability tooling — DataDog, Prometheus, Grafana.
- Prior experience on large-scale platform migrations or infrastructure modernization programs.
- Building or running evals for LLM-based workflows, prompt libraries, or agent tooling at your current or previous team.
Our Benefits
- Competitive pay and benefits.
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees). Supplemental medical and dental plans for Canadian employees.
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
- Employee Assistance Program (EAP) for mental wellness.
- Flexible PTO and 12 company-wide days off throughout the year.
- Learning & Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership for your preferred circle.
Life360 Values
Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference:
- Be a Good Person — We have a team of high-integrity people you can trust.
- Be Direct With Respect — We communicate directly, even when it's hard.
- Members Before Metrics — We focus on building an exceptional experience for families.
- High Intensity High Impact — We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying!
Ready to apply?
Apply to Life360
Sr. Staff Backend Engineer AI-Native, Devices Cloud
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About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About the Devices Cloud Team
The Devices Cloud team owns the backend services that power Life360's fleet of connected hardware — Tile trackers, Jiobit wearables, Pet GPS trackers, and emerging device categories. We manage real-time device state, high-frequency telemetry ingest, and the cloud infrastructure that translates physical-world signals into reliable, family-facing experiences. Our work sits at the intersection of hardware, firmware, mobile, and platform — and runs at a scale where correctness and reliability aren't optional.
We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native backend development looks like for complex, hardware-connected systems.
About the Job
As a Sr. Staff Cloud Engineer on the Devices Cloud team, you will own the technical direction of the cloud systems that power Life360's connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. This is a systems-level leadership role: you are the recognized technical authority for our device cloud infrastructure, spanning real-time state management, high-frequency telemetry ingest, and the integration layer that connects physical hardware to family-facing experiences.
At this level, your work extends well beyond implementation. You set technical direction, define architectural standards, mentor Staff and Senior engineers, and partner with engineering and product leadership to align the technical roadmap with company goals. You operate across teams and functional groups — influencing firmware, mobile, platform, and data teams — and your decisions shape systems serving tens of millions of families daily.
You are also a leader in AI-native engineering. You don't just use AI — you define how it should be used. You architect agent-driven workflows, codify practices that multiply team output, and partner with engineering leadership to spread these patterns across the broader organization.
For candidates based in the US, the salary range for this position is $216,500 to $318,500 USD. For candidates based out of Canada, the salary range is 251,000 to $295,000 CAD. Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What You'll Do
- Own the technical architecture and long-term roadmap for Devices Cloud systems — device connectivity, telemetry ingest, state management, command/control, and data pipelines — ensuring they are scalable, secure, and resilient at Life360's scale.
- Define and drive system-level technical direction across multiple teams, identifying architectural trade-offs, resolving cross-team design conflicts, and aligning engineering efforts with company strategy.
- Lead AI-native engineering practices for Devices Cloud: architect agentic workflows, codify patterns for AI-assisted spec writing, code generation, test coverage, and incident response — and partner with org leadership to extend these playbooks broadly.
- Partner with firmware, mobile, product, and platform teams to define APIs, integration standards, and device-driven workflows that translate cleanly across the hardware-software boundary.
- Drive the architecture and delivery of large-scale, cross-team initiatives — from conception through production — managing dependencies, unblocking teams, and maintaining accountability for outcomes.
- Anticipate system bottlenecks, failure modes, and security risks before they materialize; define safeguards and engineering standards that prevent class-of-problem recurrences.
- Mentor and grow Staff and Senior engineers across the team: provide architectural guidance, conduct high-quality technical reviews, and act as a force multiplier for team output.
- Collaborate with engineering and product leadership to influence organizational priorities, advocate for technical investments, and communicate technical strategy to executive stakeholders.
- Represent the team in cross-functional forums; produce clear, concise architectural documentation and roadmap artifacts accessible to both technical and non-technical audiences.
- Participate in on-call rotation and lead high-severity incident response, including post-mortems and systemic remediation.
What We're Looking For
- 12+ years of experience designing and operating large-scale backend or cloud infrastructure systems — with a strong preference for IoT, telematics, or hardware-adjacent domains.
- Demonstrated track record of setting technical direction across teams, driving architectural decisions, and aligning engineering roadmaps with business goals.
- Deep expertise with cloud-native infrastructure (AWS: EKS, Lambda, DynamoDB, SQS, Kinesis, etc.), distributed systems design, and high-throughput data pipelines.
- Strong hands-on experience with agentic AI workflows — not just prompt engineering, but architecting multi-agent systems, managing context, and building AI-native development practices at a team or org level.
- Proven ability to mentor Staff and Senior engineers, elevate team-wide engineering standards, and drive cultural change through influence rather than authority.
- Exceptional communication skills: able to distill complex architectural concepts for diverse audiences, from junior engineers to executive leadership.
- Ability to navigate ambiguity, manage competing priorities across groups, and lead through influence in a cross-functional environment.
- Experience with high-frequency ingest systems, time-series data, and streaming platforms (Kafka, Kinesis, or similar).
- Bachelor’s Degree in a Technical field, or equivalent experience.
Nice-to-Have
- Experience with IoT, telematics, embedded, or firmware-adjacent systems.
- Background in SRE practices, reliability engineering, and progressive delivery.
- Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, DataDog).
- Experience contributing to industry conversations: open-source projects, conference talks, or technical publications.
- Knowledge of hardware/firmware communication protocols (MQTT, BLE, CoAP, etc.).
AI-Native Expectations
We use AI coding tools as a professional standard on this team. Here's what that means in practice:
- Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
- Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
- Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
- Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
- Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
Our Benefits
- Competitive pay and benefits
- Medical, dental, vision, life and disability insurance plans (US and Canada)
- 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
- Employee Assistance Program (EAP) for mental well-being
- Flexible PTO, plus several company-wide days off throughout the year
- Winter and Summer week-long synchronized company shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership for your preferred circle
- Free Tile Products
Life360 Values
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.
- Be a Good Person — We have a team of high-integrity people you can trust.
- Be Direct With Respect — We communicate directly, even when it’s hard.
- Members Before Metrics — We focus on building an exceptional experience for families.
- High Intensity, High Impact — We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!
#LI-Remote
Ready to apply?
Apply to Life360
Senior Backend Engineer II - AI-Native, Devices Cloud
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About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About the Devices Cloud Team
The Devices Cloud team owns the backend services that power Life360's fleet of connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. We manage real-time device state, high-frequency telemetry ingest, and the cloud infrastructure that translates physical-world signals into reliable, family-facing experiences. Our work sits at the intersection of hardware, firmware, mobile, and platform — and runs at a scale where correctness and reliability aren't optional.
We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native backend development looks like for complex, hardware-connected systems.
About the Job
As a Senior Backend Engineer on the Devices Cloud team, you'll build and operate the cloud services that power Life360's connected devices. This role sits at the intersection of hardware, firmware, and mobile — translating real-world device signals into reliable, scalable backend systems.
You don't just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You'll help establish and evolve AI-native engineering practices for the Devices Cloud team — playbooks the broader org can adopt — while delivering backend systems that serve millions of families daily.
For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is 171,500 to 201,000 CAD. Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What You'll Do
- Design, build, and maintain backend services for device connectivity, telemetry ingest, health monitoring, and command/control operations — using AI (Claude Code) as a first-class collaborator in your daily development workflow.
- Use agentic workflows to dramatically increase delivery velocity without sacrificing quality: from generating service scaffolding, to writing and validating test coverage, to triage and root cause analysis during incidents.
- Help define and codify AI-native engineering practices for the Devices Cloud team — establishing patterns the broader org can adopt.
- Collaborate with firmware, mobile, and product teams to define APIs and workflows for device-driven features.
- Build and own data pipelines for high-throughput telemetry streams using Kafka or similar streaming technologies.
- Deliver scalable, resilient microservices on AWS (EKS, Lambda, DynamoDB, SQS, etc.).
- Instrument services for observability, reliability, and SLO compliance.
- Participate in on-call rotation and live incident response.
- Write clean, testable, performant code; contribute to CI/CD automation and improve team-wide engineering standards.
- Mentor teammates and help evolve the team's AI-native engineering culture.
What We're Looking For
- 5+ years of experience building and operating high-quality backend services in Java, Go, Python, or similar languages.
- Hands-on experience prompting, evaluating, and building with LLMs — not just autocomplete, but as a genuine development partner.
- Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
- A track record of using AI tooling to multiply your own output — faster specs, better test coverage, cleaner code, faster debugging.
- Strong experience with microservices architecture, RESTful API design, and distributed systems.
- Solid skills with cloud infrastructure (AWS preferred), container orchestration, and production deployments.
- Experience with databases (relational and/or NoSQL), caching, and event/streaming systems.
- Ability to collaborate across teams and articulate technical tradeoffs clearly.
- A genuine drive to define what AI-native looks like for complex, hardware-connected systems — you're not waiting for the playbook, you want to write it.
Nice-to-Have
- Experience with IoT, telematics, or embedded/hardware-adjacent systems.
- Familiarity with Kafka, Kinesis, or other high-throughput streaming platforms.
- Experience with high-frequency ingest systems and time-series data.
- Background with observability tooling (Prometheus, Grafana, OpenTelemetry, DataDog).
- Knowledge of SRE practices and automated testing frameworks.
AI-Native Expectations
We use AI coding tools as a professional standard on this team. Here's what that means in practice:
- Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
- Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
- Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
- Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
- Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
Our Benefits
- Competitive pay and benefits
- Medical, dental, vision, life and disability insurance plans (US and Canada)
- 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
- Employee Assistance Program (EAP) for mental well-being
- Flexible PTO, plus several company-wide days off throughout the year
- Winter and Summer week-long synchronized company shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership for your preferred circle
- Free Tile Products
Life360 Values
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.
- Be a Good Person — We have a team of high-integrity people you can trust.
- Be Direct With Respect — We communicate directly, even when it’s hard.
- Members Before Metrics — We focus on building an exceptional experience for families.
- High Intensity, High Impact — We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!
#LI-Remote
Ready to apply?
Apply to Life360
Principal Software Engineer
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About Sovrn
Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.
- We believe in the freedom and free-flow of information.
- We believe the Open Web is the largest source of this information.
- We believe in helping Open Web businesses be and remain Independent.
Through Software products and Data solutions we help our customers:
- Understand their business better, so they can make better decisions
- Operate their business more efficiently, so they can invest in what matters most
- Make (and Keep) more money, so they control their own destiny
About the Role
We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.
From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.
Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.
What you'll be doing:
- Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
- Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
- Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
- Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
- Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
- Drive technical standards, design reviews, and engineering best practices across a senior team
- Partner with product, data science, and platform teams to ship end-to-end
- Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
- Mentor and level up engineers through code review, design collaboration, and hands-on guidance
A successful candidate will have:
- 10+ years of software engineering experience, with a strong backend track record
- 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
- Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
- Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
- Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
- Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
- Strong distributed systems fundamentals: messaging, caching, service architecture, observability
- Comfort driving technical decisions in ambiguous, fast-moving environments
- A point of view on where AI is and isn't the right tool — and the credibility to make that case
Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.
Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking
Compensation and Benefits
The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.
Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.
Job Posting
Applications will be accepted until July 1, 2026.
Equal Opportunity Employer
Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.
Recruitment Agencies
Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to SovrnPrincipal Data Engineer
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About Sovrn
Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.
- We believe in the freedom and free-flow of information.
- We believe the Open Web is the largest source of this information.
- We believe in helping Open Web businesses be and remain Independent.
Through Software products and Data solutions we help our customers:
- Understand their business better, so they can make better decisions
- Operate their business more efficiently, so they can invest in what matters most
- Make (and Keep) more money, so they control their own destiny
About the Role
We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.
From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.
Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS
What you'll be doing:
Data Platform & Architecture
- Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
- Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
- Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
- Research, implement, and evolve methods to process and democratize data across the organization
- Drive technical standards, design reviews, and engineering best practices across a senior team
- Partner with product, data science, and platform teams to ship end-to-end
AI & Agentic Engineering Leadership
- Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
- Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
- Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
- Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
- Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
Collaboration & Mentorship
- Provide domain expertise across the organization to enable business growth through data services and data models
- Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
- Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
- Operate with high autonomy across ambiguous, high-impact problems
A successful candidate will have:
- 10+ years of software engineering experience, with a strong data engineering and backend track record
- 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
- Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
- Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
- Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
- Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
- Experience with data security and compliance (PII, CCPA, GDPR, etc.)
- Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
- Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
- Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
- Understanding of DevOps and SRE practices
- Comfort driving technical decisions in ambiguous, fast-moving environments
- A point of view on where AI is and isn’t the right too, and the credibility to make that case
Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.
Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking
Compensation and Benefits
The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.
Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.
Job Posting
Applications will be accepted until July 1, 2026.
Equal Opportunity Employer
Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.
Recruitment Agencies
Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Sovrn
Back End Lead Software Engineer - Accommodation/Flights/Supply/FinTech(Bangkok based - Relocation provided)
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About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
This position is based in Bangkok, Thailand (Relocation package is provided)
Get to Know our Team
In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.
In this Role, you'll get to:
- Architect and develop highly scalable, mission-critical backend systems, owning major parts of Agoda’s platform from long-term vision down to implementation details.
- Write exemplary code, raise the engineering bar, and provide hands-on technical leadership that positively impacts 40+ engineers.
- Define architecture for critical systems and lead large-scale cross-team initiatives that improve service quality, code quality, and technical design.
- Drive organization-wide excellence in observability, testing, debugging, and software quality through strong engineering fundamentals and data-informed decisions.
- Identify and implement optimizations across the stack to improve cost, efficiency, delivery velocity, and developer happiness.
- Foster inclusive collaboration, unblock teams, influence technical roadmaps, and clearly communicate complex technical trade-offs to business stakeholders and senior leadership.
What you'll Need to Succeed:
- 10+ years of experience in software engineering, with deep hands-on technical expertise and strong architectural leadership.
- Proven ability to design and evolve architecture across multiple teams, platforms, or critical system domains.
- Strong experience owning production services end-to-end, including design, development, deployment, monitoring, and long-term evolution.
- Demonstrated success leading large-scale technical initiatives in complex engineering organizations.
- Expertise in software quality practices, testing strategy, engineering metrics, observability, debugging, system reliability, and operational excellence.
- Strong backend engineering skills, with proficiency in languages such as Kotlin, Scala, or Java.
- Broad engineering understanding beyond backend, including awareness of trade-offs across frontend, mobile, and data analytics.
- Curiosity and passion for staying up to date with new technologies, technical improvements, and open-source advancements.
- Ability to perform deep research, evaluate complex problems, and make sound technical decisions.
- Strong communication skills, with the ability to explain complex technical details and trade-offs to stakeholders at all levels.
- Proven ability to influence technical direction without relying solely on formal authority.
- Track record of mentoring engineers, fostering collaboration, and building a culture of feedback and continuous improvement.
- Comfortable working both independently and collaboratively, with the ability to balance strategic thinking and hands-on execution.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
What We Offer
Full Relocation and Onboarding Support:
- Visa sponsorship for you and your family
- Flights, settling-in allowance, and temporary housing
- Dedicated relocation and settling-in advisors
- Relocation buddy program and community events
Family & Expat Benefits:
- Partner & children support (school search, legal, etc.)
- International health insurance
- Flexible home visit support
Agoda Perks:
- Hybrid working (Bangkok HQ)
- Professional growth and learning budget
- Employee resource groups for every culture and background
Get to know first-hand testimonials of Agodans relocating from around the world to Bangkok: https://careersatagoda.com/agodans-in-bangkok/
Agoda’s Engineering Blog: https://medium.com/agoda-engineering
#UnitedKingdom #London #UnitedStates #Seattle #SanFrancisco #NewYork #SanJose #Sunnyvale #Austin #MountainView #Chicago #SanDiego #SantaClara #Bellevue #Redmond #LosAngeles #Fremont #Atlanta #Boston #Brooklyn #Charlotte #Plano #Denver #SanMateo #Irving #Dallas #PaloAlto #Raleigh #Bentonville #Pittsburgh #Cupertino #JerseyCity #Kirkland #Germany #Berlin #Munich #Canada #Toronto #Vancouver #Montreal #Singapore #Singapore #Brazil #SãoPaulo #Australia #Sydney #Melbourne #Israel #TelAviv #Spain #Madrid #Barcelona #Indonesia #Jakarta #Poland #Warsaw #Cracow #Wrocław #France #Paris #Netherlands #Amsterdam #Argentina #BuenosAires #Sweden #Stockholm #Ireland #Dublin #China #Shanghai #Beijing #Switzerland #Zurich #Taiwan #TaipeiCity #Bulgaria #Sofia #Mexico #MexicoCity #Japan #Tokyo #Georgia #Kazakhstan #Armenia #UnitedArabEmirates #Belarus #Uzbekistan #Kyrgyzstan #Vietnam #London #IT #4 #5 #LI-Hybrid
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
Lead Software Engineer, Back End - L5 (Bangkok based - Relocation provided)
Share this job
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
This position is based in Bangkok, Thailand (Relocation package is provided)
Get to Know our Team
In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.
In this Role, you'll get to:
- Architect and develop highly scalable, mission-critical backend systems, owning major parts of Agoda’s platform from long-term vision down to implementation details.
- Write exemplary code, raise the engineering bar, and provide hands-on technical leadership that positively impacts 40+ engineers.
- Define architecture for critical systems and lead large-scale cross-team initiatives that improve service quality, code quality, and technical design.
- Drive organization-wide excellence in observability, testing, debugging, and software quality through strong engineering fundamentals and data-informed decisions.
- Identify and implement optimizations across the stack to improve cost, efficiency, delivery velocity, and developer happiness.
- Foster inclusive collaboration, unblock teams, influence technical roadmaps, and clearly communicate complex technical trade-offs to business stakeholders and senior leadership.
What you'll Need to Succeed:
- 10+ years of experience in software engineering, with deep hands-on technical expertise and strong architectural leadership.
- Proven ability to design and evolve architecture across multiple teams, platforms, or critical system domains.
- Strong experience owning production services end-to-end, including design, development, deployment, monitoring, and long-term evolution.
- Demonstrated success leading large-scale technical initiatives in complex engineering organizations.
- Expertise in software quality practices, testing strategy, engineering metrics, observability, debugging, system reliability, and operational excellence.
- Strong backend engineering skills, with proficiency in languages such as Kotlin, Scala, or Java.
- Broad engineering understanding beyond backend, including awareness of trade-offs across frontend, mobile, and data analytics.
- Curiosity and passion for staying up to date with new technologies, technical improvements, and open-source advancements.
- Ability to perform deep research, evaluate complex problems, and make sound technical decisions.
- Strong communication skills, with the ability to explain complex technical details and trade-offs to stakeholders at all levels.
- Proven ability to influence technical direction without relying solely on formal authority.
- Track record of mentoring engineers, fostering collaboration, and building a culture of feedback and continuous improvement.
- Comfortable working both independently and collaboratively, with the ability to balance strategic thinking and hands-on execution.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
What We Offer
Full Relocation and Onboarding Support:
- Visa sponsorship for you and your family
- Flights, settling-in allowance, and temporary housing
- Dedicated relocation and settling-in advisors
- Relocation buddy program and community events
Family & Expat Benefits:
- Partner & children support (school search, legal, etc.)
- International health insurance
- Flexible home visit support
Agoda Perks:
- Hybrid working (Bangkok HQ)
- Professional growth and learning budget
- Employee resource groups for every culture and background
Get to know first-hand testimonials of Agodans relocating from around the world to Bangkok: https://careersatagoda.com/agodans-in-bangkok/
Agoda’s Engineering Blog: https://medium.com/agoda-engineering
#India #Bengaluru #Hyderabad #Pune #Chennai #Noida #Mumbai #Gurgaon #NewDelhi #Kochi #Coimbatore #Gurugram #UnitedKingdom #London #UnitedStates #Seattle #SanFrancisco #NewYork #SanJose #Sunnyvale #Austin #MountainView #Chicago #SanDiego #SantaClara #Bellevue #Redmond #LosAngeles #Fremont #Atlanta #Boston #Brooklyn #Charlotte #Plano #Denver #SanMateo #Irving #Dallas #PaloAlto #Raleigh #Bentonville #Pittsburgh #Cupertino #JerseyCity #Kirkland #Germany #Berlin #Munich #Canada #Toronto #Vancouver #Montreal #Singapore #Singapore #Brazil #SãoPaulo #Australia #Sydney #Melbourne #Israel #TelAviv #Spain #Madrid #Barcelona #Indonesia #Jakarta #Poland #Warsaw #Cracow #Wrocław #France #Paris #Netherlands #Amsterdam #Argentina #BuenosAires #Sweden #Stockholm #Ireland #Dublin #China #Shanghai #Beijing #Switzerland #Zurich #Taiwan #TaipeiCity #Bulgaria #Sofia #Mexico #MexicoCity #Japan #Tokyo #IT #4 #5 #LI-Hybrid
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About the team
The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe.
As a founding member of this team, you will be architecting a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we are building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real-time.
What you’ll do
As a Senior Software Engineer on this founding team, you will lead the technical design and implementation of our core security data pipelines. You will be responsible for defining how security signals are captured, processed at scale, and delivered to our users through robust, developer-friendly interfaces. If you have security domain knowledge, there are significant opportunities for you to help shape product vision.
Responsibilities
- Architect Scalable Foundations: Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry.
- Build API-First Products: Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools.
- Engineering Security Signals: Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights.
- Define Technical Strategy: Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products.
- Drive Engineering Excellence: As a senior leader, you will set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability.
- Cross-functional Collaboration: Work closely with Stripe’s core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected.
Who you are
We are looking for an experienced backend and systems engineer who thrives on building new products from scratch. You should have a deep background in distributed systems and a passion for building platforms that empower other developers and security professionals.
Minimum requirements
- 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems.
- Expertise in Data Engineering & Distributed Systems: Deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies).
- Strong Programming Fundamentals: Significant experience in languages like Java, C++, or Rust.
- System Design Leadership: A proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch.
- Operational Mindset: Experience maintaining mission-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging.
- Communication & Collaboration: Excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders.
Preferred qualifications
- Security Domain Knowledge: Prior experience building security analytics, threat detection systems, or observability platforms.
- Platform Engineering: Experience building "as-a-service" infrastructure where the primary users are other engineers or external developers.
- Cloud Native Infrastructure: Prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform).
- Product Intuition: A desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering.
- Front-end / Full Stack Experience: Prior React / TypeScript frontend experience is helpful
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team’s systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales & Operations, Finance, etc.
Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg.
What you’ll do
As a Software Engineer on our team, you will do the following:
- Design, build, and maintain innovative next-generation or first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency.
- Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
- Ensure operational excellence and enable a highly available & reliable Data Orchestration platform across batch workloads.
- Collaborate nimbly with high-visibility teams and their stakeholders to support their key initiatives - while building a robust platform that benefits all of Stripe in the long term.
- Plan for the growth of Stripe’s infrastructure by unblocking, supporting, and communicating proactively with internal partners to achieve results. ● Connect your work with improvements in the usability and reliability of Open Source Software (OSS) like Apache Airflow, Iceberg, Spark and contribute back to the OSS community.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 8+ years of professional experience writing high quality production level code or software programs and interest in Data Infrastructure.
- Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus.
- Has experience developing, maintaining, and debugging distributed systems built with open source tools
- Has experience building infrastructure-as-a-product with a strong focus on users needs
- Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants.
- Has the curiosity to continuously learn about new technologies and business processes.
- Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration.
Preferred qualifications
- Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus.
- Has experience designing APIs or building developer platforms ● Has experience optimizing the end to end performance of distributed systems ● Has experience with scaling distributed systems in a rapidly moving environment ● Has experience working with Airflow Infrastructure.
- Genuine enjoyment of innovation and a deep interest in understanding how things work
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
Office location - Bengaluru , KA, India
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Stripe Billing helps businesses automate and scale how they charge for products and services. Our team builds the systems that define pricing models, power subscriptions and invoicing, process usage-based billing, and help users manage revenue operations with flexibility and confidence.
As businesses grow, their billing needs become more complex. Billing works across product surfaces and backend systems to make that complexity manageable through reliable, extensible infrastructure and thoughtful product-platform design. This role sits across the Billing organization and will help shape the technical direction of core systems used by a broad range of Stripe users.
What you’ll do
As a Staff Software Engineer on Billing, you’ll lead the design and evolution of backend systems that power some of Stripe’s most important product experiences. You’ll work at the intersection of platform architecture and user impact, building the foundations that allow businesses to model, launch, and scale new ways of charging their customers.
This role is ideal for someone who enjoys owning complex technical problems end to end: defining architecture, improving system design, making pragmatic tradeoffs, and partnering closely with product and engineering leaders. You’ll help Billing become more scalable, composable, and adaptable while mentoring other engineers and raising the quality of technical decision-making across the organization.
Responsibilities
- Lead the architecture and delivery of foundational backend systems that support subscriptions, invoicing, and usage-based billing
- Design extensible platform capabilities that enable new product use cases while preserving reliability, performance, and ease of iteration
- Drive technical direction across teams by making clear architectural choices, aligning stakeholders, and turning long-term strategy into concrete execution
- Partner closely with product, engineering, and adjacent platform teams to build systems that balance user needs with maintainability and scale
- Improve the quality of system design and domain modeling across the organization through technical leadership, design reviews, and hands-on guidance
- Mentor senior engineers and help develop the next generation of technical leaders within Billing
- Contribute directly to implementation when needed, especially in high-leverage or technically complex areas of the codebase
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 15+ years of software engineering experience building and operating large-scale backend or platform systems
- Demonstrated track record of leading the technical design and delivery of complex, ambiguous product/platform initiatives that span multiple teams or major product areas and deliver measurable business impact.
- Strong systems design skills, including experience building scalable, extensible architectures in domains with evolving requirements
- Experience working with distributed and asynchronous systems in production environments
- Proven ability to influence technical direction across multiple teams and to drive alignment and delivery across organizational boundaries
- Regular, hands-on code contributions and code-review activity in production systems; comfortable shipping, debugging, and iterating in large codebases.
- Comfortable operating under both technical and business ambiguity: able to translate business goals into technical strategy and present recommendations to senior engineering and business stakeholders.
- Accountability for organizational outcomes — you own both your technical contributions and the success of the teams/organizations you support.
Preferred qualifications
- Experience building billing, payments, financial systems, or other configurable business platforms
- Experience with domain-driven design and strong domain modeling in complex software systems
- Experience leading re-architecture or migration efforts in mature production systems
- Experience working in large engineering organizations with substantial cross-functional and cross-team dependencies; track record of driving cross-org initiatives to completion.
- Familiarity with technologies such as Ruby, Java, Kafka, Flink, or MongoDB
Ready to apply?
Apply to Stripe
Staff Software Engineer, Stream Compute
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.
What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.
What you'll do
You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.
Responsibilities
- Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
- Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
- Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
- Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
- Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
- Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
- Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
- Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
- Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
- Experience developing, maintaining and debugging distributed systems built with open source tools
- Experience building and scaling infrastructure as a product
- Strong software engineering skills and a passion for Big Data Distributed Systems
- Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
- Comfortable operating with high autonomy and ownership
- Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
- Strong written and verbal communication skills, including the ability to produce clear technical documentation
Preferred qualifications
- Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
- Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
- Experience building or operating control planes for managing large-scale infrastructure
- Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)
Ready to apply?
Apply to Stripe
Engineering Manager, Data Transformation
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Data Transformation team is responsible for building and operating batch and real time transformation pipelines and platforms for 400+ product teams at Stripe. We're aiming to make data development and management workflow at Stripe a breeze with emphasis on producing high quality datasets used for critical analytics, dashboards and workflows at Stripe. The Products owned by this team are widely adopted with 800+ weekly active users improving developer productivity for data users by many folds. The team is in an interesting phase of innovation tied to topmost priority for Stripe building and executing the strategic roadmap for streaming transformation, incremental processing and ergonomic data modeling.
We empower our users ranging from Data Scientists to Engineers building pipelines to create exceptional Stripe product experiences while providing a robust transformation platform for critical dashboarding, analytics and workflows at Stripe including user-facing reporting products Sigma and Radar.
We adopt a combination of open source technologies and in-house built software to ensure high scalability, reliability, and usability of our transformation offerings. Key example technologies used include: Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka and FlinkSQL.
What you’ll do
As an Engineering Manager of the Data Transformation team, you will lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You will be driving critical workstreams for Stripe’s topmost priorities around delivering high quality, materialized datasets Stripe products and AI agents.
You will:
- Deliver infrastructure and services that scale to our users needs with an eye on reliability and efficiency
- Lead and manage a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success
- Work with high-visibility teams and their stakeholders to support the Infrastructure’s key engineering initiatives
- Understand user needs and pain points to prioritize engineering work and deliver high quality solutions that meet user needs
- Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion
- Provide hands-on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for your reports
- Work with leaders across the company to create and drive toward the longer term vision of Stripe’s Data Transformation roadmap
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team
- Partners with our recruiting team to attract and hire top talent, and define the overall hiring strategies for your team
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
We’re looking for someone who has:
- 1 - 3 years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure
- Successfully recruited and built great teams.
- Extreme customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use-cases
- Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs.
- Thrives with a high degree of autonomy and responsibility in an ambiguous environment.
- Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions.
- Encourage a healthy and inclusive work environment that’s both challenging and supportive
Preferred qualifications
- Managed teams that shipped products to data users and operated large-scale, high-availability data transformation pipelines, with expertise in Kafka, Flink, Spark, Airflow, Python, SQL, and API design a plus.
- A genuine enjoyment of learning and diving into the nuts-and-bolts of how things work, with the ability to question and direct architectural decisions
- Strong written and verbal communication skills for different audiences (leadership, users, company-wide)
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data.
What you’ll do
We're looking for a person who could drive the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of Data Engineering tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.
You will:
- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.
- Partner with our recruiting team to attract and hire top talent.
- Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.
- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.
- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.
- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
- Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.
- Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
We’re looking for someone who has:
- 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.
- A strong engineering background and passion for data.
- Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
- An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
- Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Thrive with high autonomy and responsibility in an ambiguous environment.
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.
- Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
- Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.
Ready to apply?
Apply to Stripe