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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
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
Roku pioneered TV streaming and continues to lead, innovate and shape the future of streaming. You will be part of a high-performance engineering team responsible for The Roku Channel (TRC), the fastest growing FAST (Free-Ad-Supported-TV) streaming service in US and Mexico.
About the role
You will be responsible for driving the test automation for The Roku Channel streaming apps, features and services on multiple platforms to improve product quality, increase team productivity and enhancing a culture of continuous quality improvement throughout the software development lifecycle. You will be a self-starter, have endless curiosity, ability to think big along with a bias for action for fast paced, high-quality execution.
What you’ll be doing
- You will be part of the core QA engineering team with a significant ownership to drive automation for The Roku Channel app on multiple platforms like FireTV, GoogleTV, Samsung, Web etc.
- Use AI tools to simplify overall product testing process.
- Utilize and integrate automated test tools, frameworks, systems, and libraries throughout the product lifecycle.
- Build test plans, write automation tests, analyze/troubleshoot failures, track defects, drive resolution, verify fixes and communicate results to stakeholders.
- Build and enhance the automation lab setup.
- Collaborate with multiple cross functional teams like product, UX and engineering to build delightful streaming experiences, fine tune quality of experience, investigate and remediate potential E2E application and streaming quality problems.
We’re excited if you have
- Strong problem solving and analytical abilities, ability to troubleshoot, identify and resolve defects.
- 7+ Years in a Software Engineering or Test Automation role working on large scale web applications on cloud platforms using REST APIs.
- Experience with video streaming domain and technologies like DASH, HLS, MPEG-4, WideVine, FairPlay.
- Strong programming skills in one or more of JavaScript/TypeScript, Python, Java, Go.
- Very good understanding of core CS concepts including operating systems, algorithms, data structures, database and frontend/Web fundamentals including HTML5, CSS.
- Solid experience with one or more automation frameworks like Cypress, Selenium, Cucumber, Appium, JUnit etc.
- Passion for using AI for test automation to dramatically increase execution velocity and improve product quality.
- Familiarity with TDD/BDD paradigms, AI for QA automation.
- Excellent interpersonal, written and verbal communication skills, and ability to collaborate effectively with cross-functional teams.
- Bachelor's Degree in Computer Science or equivalent; Master's degree 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
Senior Software Engineer - Cloud Infrastructure & Observability
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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 Role
We are building a next-generation observability and cloud platform that is high-performance, cost-efficient, secure, and scalable across multi-region, multi-cloud clusters. You will lead the architecture and evolution of Roku’s observability and cloud infrastructure stack. This includes metrics, logs, traces, telemetry pipelines, service mesh, developer experience, and reliability of systems that power thousands of services and millions of devices.
You will drive a vision where developers gain deep visibility with minimal overhead, onboarding is seamless, and insights are available in real time. Your work will directly help Roku scale efficiently while maintaining reliability, cost control, and performance.
What You’ll Be Doing
- Architect and lead Roku’s observability platform across metrics, logs, and traces; evolve data pipelines and storage layers optimized for high throughput, performance, and cost at Roku scale (TSDBs, Parquet, distributed processing).
- Extend and harden open‑source observability systems; overhaul core components (e.g., storage layers, query paths) to improve performance, reliability, and usability at scale.
- Implement features such as pre‑aggregation, down-sampling, and sampling to reduce load and accelerate queries across the platform.
- Collaborate across platform, SRE, and product teams to migrate hundreds of workloads to our common platform; augment and automate CI/CD flows and onboarding.
- Integrate security into infrastructure and platform services; ensure robust multi‑tenant, multi‑cluster, and multi‑cloud designs.
- Contribute improvements back to open source and CNCF‑aligned projects; shape standards adoption (OpenTelemetry, OpenMetrics) across the company.
- Mentor engineers; establish best practices for reliability, efficiency, and cost management across service mesh and observability domains.
What You'll have
- 15+ years in software engineering with a track record of architecting distributed systems or platforms at scale.
- Strong hands‑on experience in Golang and one scripting language (e.g., Python or Shell).
- Experience operating observability at pb-scale ingestion and hundreds of millions of series.
- Expertise in observability platforms and tooling (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, ClickHouse) and standards (OpenTelemetry, OpenMetrics).
- Deep experience building systems of scale and operating cloud infrastructure with Kubernetes; strong proficiency with service mesh technologies (Istio/Envoy), infrastructure‑as‑code (Terraform) and experience in multi‑cloud (AWS, GCP)
- Demonstrated ability to evolve storage and query architectures for cost, scale, and latency (e.g., TSDB, Parquet, distributed processing).
- Proven experience integrating security as part of infrastructure and platform development.
- Exceptional cross‑functional communication; effective collaboration with both technical and non‑technical stakeholders.
- Culture fit: independent thinker, pragmatic problem‑solver, low‑ego collaborator who moves fast and focuses on company success.
- Experience integrating AI tools to improve processes and reduce toil.
- Open‑source contributions in CNCF projects is preferred but not mandatory.
#LI-DS4
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 is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world.
About the role
We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages.
What you’ll be doing
- ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
- Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
- Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy.
- Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters.
Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions.
Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.
We’re excited if you have
- Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
- Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min 5 years of total experience.
- Great coding skills and strong software development experience (we use Spark, Python, Java).
- Familiarity with real-time evaluation of models with low latency constraints.
- Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
- Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB.
- Ad tech background is a plus.
- AI growth mindset / AI Literacy
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, Machine Learning - Data Platforms
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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
A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads.
We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you.
About the role
In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams.
What you will be doing
- Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence
- Design and run experiments, measure impact, and translate results into product decisions and customer outcomes
- Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics
- Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks
- Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems
- Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity.
We’re excited if you have
- 5+ years of experience applying ML or data science to real business problems at scale
- Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field
- Strong CS fundamentals and ability to design efficient algorithms and production systems
- Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP)
- Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems
PREFERRED QUALIFICATIONS
- Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar
- Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.)
- Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus
- Prior publications, patents, or open-source contributions are a plus
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. 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 is why we’re actively looking for a Senior Machine Learning / AI 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 machine learning capabilities.
Roku offers millions of options to our users: movies, shows, 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 is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.
The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.
What you’ll be doing
- Vision & Strategy: Define the roadmap for ML within the Content Platform..
- Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
- People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
- Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
- Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.
We’re excited if you have
- 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
- MS or BS in Computer Science, Mathematics, or a related quantitative field.
- You possess a deep theoretical and practical understanding of Machine Learning.
- You understand the business of streaming and how ML directly impacts the bottom line.
- You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
- Proven track record of deploying large-scale ML models into production environments.
- Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).
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
At Roku, the Customer Care Engineering team is at the forefront of creating innovative solutions that redefine how we support millions of Roku users worldwide. We build and maintain a diverse ecosystem of cutting-edge tools and applications, including the Roku Support help center, advisor-facing tools for call centers, third-party partner integrations, internal web portals, and a robust suite of web services. From customer account management to big data pipelines, automated deployments, and build tools, our work touches nearly every aspect of the Roku experience.Our mission? To empower Roku customers and support teams with seamless automation, intuitive self-service tools, and powerful troubleshooting capabilities. We’re passionate about crafting secure, high-performance applications that not only solve problems but also deliver a delightful, branded user experience. If you’re excited about building scalable, impactful solutions that make a real difference, this is the team for you.
About the role
Roku is seeking an experienced, versatile, and skilled Full Stack Engineer to join our dynamic Customer Care team. You will play a pivotal role in building and evolving a platform, leveraging web technologies and cutting-edge generative AI, to support world class customer care experiences including intelligent chatbots, agent dashboards, telephony integration, and self-service workflow automation. Your expertise will help shape intelligent, scalable solutions that enhance customer support experiences and multiple support call centers globally.
What you'll be doing
- Design, develop, test, deploy, document, and maintain full stack web applications for a multi-region CRM platform
- Determine the strategic and tactical direction of the front-end architecture with cross-browser compatibility, accessibility and search engine optimization
- Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions
- Advocate for operational excellence, driving best practices in monitoring, performance, and reliability.
- Participate in the agile development process, including scoping, technical design, effort estimation, coding, testing, debugging, code reviews, maintenance, and support
- Write clean, efficient, and maintainable code across frontend and backend services
- Monitor, debug, and resolve issues across the stack to maintain platform reliability.
- Stay updated on emerging technologies, bringing innovative ideas to enhance the platform.
- Collaborate with product managers, UX designers, data science and larger engineering team on business and architecture proposals to deliver seamless customer care experiences.
We're excited if you have
- 12+ yrs of relevant web development and production application support of highly trafficked consumer-facing web applications.
- In-depth experience with React and relevant toolset/framework ecosystem.
- Expert-level knowledge of JavaScript, Typescript – prototypical inheritance, scope and closures.
- Experience with js, React.js/Angular.js, Express, SASS/LESS, AWS, npm, Git and CI a necessity.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and microservices architectures
- Strong understanding of database systems (SQL and NoSQL).
- Familiarity with DevOps practices and tools (CI/CD, Docker, Kubernetes).
- Ability to decompose complex problems into manageable units of work.
- Excellent problem-solving skills and ability to work in an agile environment.
- Effective communication and collaboration skills.
- Bachelors or Master’s degree in Computer Science, Engineering, or equivalent.
- Experience with customer service platforms or CRM systems is preferred
- Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred
- Knowledge of service mesh architectures is preferred
- Exposure to observability tools and practices (e.g., Prometheus, Grafana) are 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 role
Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.
Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation.
What you'll be doing
- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
- Run online AB tests and analyze them against the critical business KPIs
- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
- Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
- Provide technical leadership to drive technical and ML roadmap for search ranking and monetization
- Help recruiting new engineers. Interview, train, and mentor new team members
We're excited if you have - 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
- Strong CS fundamentals. Should be able covert ideas to code with ease
- Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus
- We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)
- Good understanding of system architecture
- Experience in big data technologies and streaming architecture, data pipelines, etc.
- MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is 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-AK1
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 DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.
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 and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot 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
-
Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
-
Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
-
Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
-
Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
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.
-
Expertise in developing low latency APIs
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
-
Strong programming skills in Python, Java, and/or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
-
Expertise in developing low latency APIs
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (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 Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.
About the role
In this role you will work on building out a SOTA machine learning platform and apply various methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing.
We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.
What you’ll be doing
- Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies.
- Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance.
- Stay at the forefront of advancements in related areas.
We’re excited if you have
- BS or higher in CS, ECE or a related field.
- 5+ years of experience in building out Machine Learning platforms or applying Deep Learning methodologies.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- MS or higher CS, ECE or a related field.
- Experience in the Advertising domain.
- Contributions to open-source ML projects.
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 role
A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Software Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!
What you'll be doing
- Work alongside a highly skilled engineering team to design, develop, and maintain large scale, highly performant, real-time applications.
- Own building features, driving directly with product and other engineering teams
- Demonstrate excellent communication skills in working with technical and non-technical audiences
- Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops
- Be an evangelist for platform innovation and reuse
- Deliver top-quality software in a timely fashion
We're excited if you have
- 8+ years of experience building large scale and low latency distributed systems.
- Command of Java or C++.
- Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming.
- Experience with distributed caching, SQL/NO SQL, and other databases is a plus.
- Experience with Big Data and cloud services such as AWS/GCP is a plus.
- Experience in advertising domain a big plus
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent
- Self-motivated individual with a high level of accountability and ownership.
- Critical thinking and practical decision making.
- Can do, results-oriented mindset.
- Nonpolitical, collaborative, and team oriented.
- Desire to win in a highly competitive industry.
- AI growth mindset / AI Literacy
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
-
Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
-
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
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.
-
Expertise with atleast one of the following Apache Druid, StarRocks, and Trino.
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Familiarity with additional big data technologies, including Hadoop and Kafka.
-
Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
-
Strong programming skills in Python, Java, or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
Expertise in data modeling, schema design, and data visualization tools.
-
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
A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!
The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.
About the role
In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.
What you will be doing
- Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
- Run regular A/B experiments, gather data, and perform statistical analysis
- Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
- Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
- Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving
We're excited if you have
- 6+ years of building models for business application experience
- Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
- Strong CS fundamentals. Should be able to write an algorithm with ease.
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
- Can brainstorm and identify the right KPIs and objective functions.
- Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
- Have publications at top-tier peer-reviewed conferences or journals (preferred)
- AI growth mindset / AI Literacy
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 - Kubernetes & ServiceMesh
Share this job
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 Role
Join us in building Roku’s next-generation cloud-agnostic platform that powers Kubernetes and service mesh at scale. If you’re passionate about designing resilient infrastructure, automating deployments, and enabling hundreds of workloads across multiple regions, this role is for you. You’ll work with cutting-edge technologies like Kubernetes, Istio, Envoy, Terraform, modern observability stacks and collaborate with teams worldwide to deliver a unified hosting experience.
If you’re passionate about deep platform and infrastructure engineering, solving complex scaling challenges, and enabling teams through elegant, automated solutions—this role is for you.
About the Team
Our Cloud Compute Platform Engineering team is at the heart of Roku’s transformation toward a single, unified platform. We design and scale Kubernetes clusters, service mesh architecture, and supporting systems to ensure all engineering teams speak the same infrastructure language. We partner with internal teams to migrate workloads, enhance CI/CD pipelines, and integrate observability and security into every layer of the stack. Collaboration and impact are core to what we do.
What You’ll Be Doing
- Architect, design, and deploy Roku’s next-generation cloud platform and service mesh.
- Build and own solutions to Roku's compute problems using Docker, Kubernetes, Istio/Envoy, Terraform and scripting to evolve our tech stack and deployments.
- Proactively drive the research and implementation of new technologies to enhance scalability, reliability, and developer experience.
- Integrate security best practices into infrastructure design and automation.
- Build tooling to visualize inefficiencies and optimize costs across shared-tenancy clusters, including network traffic insights, cross-cluster communication efficiency, and cost attribution.
- Collaborate with internal teams to migrate workloads to Kubernetes + Istio, leveraging open-source observability tools.
- Work closely with the Observability team to scale monitoring and logging solutions for a holistic view of the platform.
- Leverage SRE principles to maintain high availability and streamline onboarding workflows.
- Mentor team members and help define best practices for infrastructure and automation.
We’re Excited If You Have
- Strong hands-on experience with cloud technologies (AWS preferred; GCP or Azure is a plus), specifically in architecting and managing performant, large-scale systems handling significant traffic/data.
- Deep knowledge of Kubernetes (EKS, GKE, AKS, or similar) and service mesh technologies.
- Proficiency in Go or another programming language, Python or another scripting language.
- Experience designing infrastructure and building automation tools, while collaborating with internal team members and external stakeholders.
- Experience building CI/CD pipelines and following modern deployment practices.
- Familiarity with observability tools (Prometheus, Thanos, Loki, Grafana, etc.).
- Ability to work independently and communicate effectively with technical and non-technical stakeholders.
- Passion for learning and solving complex infrastructure challenges.
- Experience integrating AI tools to improve processes and reduce operational toil (a plus).
- Master’s degree or equivalent experience (8+ years 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.
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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.
Ready to apply?
Apply to Roku
Role Overview
We are seeking a Senior NetSuite Engineer to serve as a technical and functional owner of NetSuite, with deep expertise across Order-to-Cash (O2C), Record-to-Report (R2R), and core accounting processes. This role will partner closely with Finance, Accounting, Revenue Operations, Tax, and IT to design, build, and scale NetSuite solutions that enable accurate financial reporting, operational efficiency, and compliance.
The ideal candidate combines strong accounting domain knowledge with hands-on NetSuite configuration and development expertise, and has experience supporting complex revenue models, multi-entity environments, and close automation.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Key Responsibilities
NetSuite Ownership & Solution Design
- Act as a senior technical and functional lead for NetSuite, owning design decisions and best practices across O2C and R2R
- Translate business requirements into scalable NetSuite solutions using native configuration and custom development where required
- Lead NetSuite architecture decisions across subsidiaries, accounting books, and integrations
Order-to-Cash (O2C)
- Own NetSuite support and enhancements for
- Quotes → Sales Orders → Billing → Revenue Recognition → Cash Application
- Configure and optimize
- Billing schedules, invoice automation, and credit memo workflows
- Revenue Recognition including SSP, fair value pricing, and rev rec rules
- Multi-element arrangements, usage-based billing, subscriptions, and amendments
- Partner with Sales Ops and RevOps on
- Salesforce → NetSuite integrations
- Deal structure validation and downstream accounting impacts
- Reduce manual effort, billing errors, and revenue leakage through automation and controls.
Record-to-Report (R2R) & Accounting
- Own NetSuite processes supporting
- General Ledger, AP, AR, Fixed Assets, Intercompany, and Consolidations
- Design and enhance
- Month-end and quarter-end close workflows
- Journal entry automation and approvals
- Account reconciliations and variance analysis support
- Support multi-entity, multi-currency, and multi-book accounting environments
- Ensure alignment with GAAP/IFRS requirements, SOX controls, and audit readiness
Customization & Development
- Develop and maintain
- SuiteScript (1.0 / 2.x), SuiteFlow workflows, SuiteBuilder customizations
- Saved searches, dashboards, KPIs, and financial reports
- Build robust approval workflows, validations, and exception handling
- Optimize system performance and reduce technical debt
Integrations & Data Management
- Own and support integrations between NetSuite and
- Salesforce, billing platforms, payment processors, banks, tax engines, and data warehouses
- Partner with integration teams to ensure
- Data accuracy, idempotency, and error handling
- Lead data migrations, transformations, and historical data loads
Controls, Compliance & Audit
- Design and maintain SOX-compliant controls within NetSuite
- Support internal and external audits by
- Providing system documentation
- Explaining configurations and accounting logic
- Ensure strong role-based access controls and segregation of duties
Stakeholder Partnership & Leadership
- Serve as a trusted advisor to
- Accounting, FP&A, RevOps, Tax, and Finance leadership
- Lead NetSuite initiatives including
- New module rollouts
- Re-implementations or major upgrades
- Mentor junior NetSuite administrators and engineers
- Create and maintain system documentation and runbooks.
Required Qualifications
- 7–10 years of experience with NetSuite ERP environments
- Strong hands-on experience supporting O2C and R2R processes
- Experience in SaaS, subscription, or usage-based revenue models strongly preferred
- Proven experience supporting month-end close and revenue accounting teams
Technical Skills
- Expert in: NetSuite GL, AR, AP, Revenue Management, and Billing
- SuiteScript (2.x preferred), SuiteFlow, and Saved Searches
- Strong experience with:
- Revenue Recognition (ASC 606)
- Multi-entity and intercompany accounting
- NetSuite integrations and data imports
- Concur, Coupa and other financial systems
- Working understanding of:
- GAAP accounting principles
- Revenue recognition and deferred revenue
- Financial close and reporting processes
- Ability to connect system design decisions to downstream accounting and reporting impacts
Soft Skills
- Excellent communication skills; able to bridge technical and accounting audiences
- Strong problem-solving mindset with attention to detail
- Comfortable operating in fast-paced, ambiguous environments
- Ability to lead initiatives independently and influence without authority
Preferred Qualifications
- NetSuite certifications (Administrator, ERP Consultant, SuiteCloud Developer)
- Experience with
- SOX-compliant environments
- Pre-IPO or public company finance systems
- Global tax engines (Avalara, Vertex)
- Prior experience leading a NetSuite re-implementation or major transformation
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.
| Requisition ID | 4263321444 |
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Senior Data Engineer
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Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
The Role:
We are seeking a Senior Data Platform Engineer to join our dynamic and growing team, responsible for building, scaling, and optimizing our cloud-native data platform. You will design and implement scalable data pipelines that power business-critical analytics, real-time insights, and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity to redefine our data infrastructure to enable the next generation of products and drive innovative data initiatives.
Roles and Responsibilities:
- Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutions
- Write highly scalable code by following best practices in concurrency, resource optimization, and fault tolerance.
- Build and maintain the Infra with best IoC practices
- Identify and implement internal process improvements, including automating manual tasks, optimizing data flow, and re-designing infrastructure for higher scalability and resilience.
- Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.
- Build and maintain data tools that enable analytics, BI, and data science teams to experiment and optimize their workflows.
- Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.
- Optimize data models and architectures to power machine learning, reporting, and real-time analytics.
- Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.
- Work with stakeholders across the organization to ensure alignment between data infrastructure and business needs.
Mandatory Qualifications:
- 4+ years of hands-on experience in Building and managing Large Scale Data Platforms.
- Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.
- Strong Experience in Building and Maintaining Data Intensive APIs and Distributed Data Processing Systems
- Strong programming skills in Scala, Golang, and optimizing SQL queries.
- Experience with both relational SQL and NoSQL databases
- Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.
- Experience working in cross-functional, agile environments.
- Open-source contributions or active participation in developer communities.
- Prior experience in a product-based company is highly preferred.
Ready to apply?
Apply to Razorpay Software Private Limited
Platform Manager QE – SaaS Platform
Location: Coimbatore / Bangalore
Experience: 10 to 14 Years
Who we are and What we do?
AppViewX is trusted by the world’s leading global organizations to reduce risk, ensure compliance, and increase visibility through machine identity management and application infrastructure security and orchestration. At AppViewX, you will get to work with our bleeding edge Automation Platform that facilitates digital transformation through streamlined workflows to prevent outages, reduce security incidents and protect both an enterprise’s reputation and bottom line. AppViewX has also been certified as a Great Place to Work in India, cementing us as an employer of choice.
Glimpse of our Team
The core of AppViewX quality lies in building predictable releases through strong engineering discipline, automation-first practices, and measurable quality outcomes. Our Platform Quality Engineering team partners closely with Platform Engineering, SRE, and Product Engineering to ensure platform reliability, scalability, and resilience under real-world workloads.
As a Platform Manager QE, you will focus on validating how the platform behaves at scale, ensuring multi-tenant SaaS stability, upgrade safety, and non-functional excellence as the platform evolves.
What will you be responsible for?
- Own end-to-end platform quality outcomes, ensuring reliability, scalability, and stability across SaaS and customer-hosted deployments
- Define and execute a platform quality strategy aligned to SaaS scale, multi-tenancy, and infrastructure evolution
- Drive non-functional quality leadership, including:
• Performance (P95/P99 latency, throughput)
• Scalability (load, stress, capacity limits)
• Reliability (failover, recovery, resilience)
• Chaos testing (node, network, dependency failures) - Validate platform behavior across:
• Kubernetes-based deployments
• Service mesh (Istio) and API gateway
• Core platform services (auth, async jobs, notifications, logging) - Ensure tenant isolation and noisy-neighbor impact validation in multi-tenant SaaS environments
- Own platform upgrade and deployment quality, including:
• Backward compatibility
• Data migration integrity
• Configuration drift across environments - Establish and govern continuous testing and QAOps practices for platform validation, including:
• Production-like environments
• CI/CD quality gates
• Observability-driven validation (logs, metrics, traces) - Drive platform-level automation strategy across API, performance, and resilience testing
- Provide platform readiness inputs to release certification, ensuring production-safe releases
- Analyze production incidents, performance degradations, and instability patterns, and drive preventive quality improvements
- Track and publish platform quality metrics (latency, stability, failure rates, incident trends) to guide engineering and leadership decisions
- Partner with Platform Engineering, SRE, and Product teams to identify and resolve systemic platform issues without impacting delivery velocity
- Lead, mentor, and grow a team of QE engineers focused on distributed systems, performance engineering, and reliability validation
- Influence architecture and design decisions to improve testability, scalability, and resilience outcomes
- Drive AI-assisted QE initiatives for performance analysis, anomaly detection, and intelligent regression optimization
What do we require? (Must Have)
- 10–14 years of experience in Quality Engineering with strong exposure to SaaS platforms and distributed systems
- Proven experience in non-functional testing:
performance, scalability, reliability, chaos engineering - Strong expertise in API and service-level automation (Python-based frameworks preferred)
- Hands-on experience with performance testing tools (JMeter, k6, Gatling, or similar)
- Experience with Kubernetes, containerized environments, and service mesh (Istio)
- Strong understanding of multi-tenant SaaS architectures and platform behavior under load
- Experience integrating quality practices into CI/CD pipelines and QA Ops workflows
- Strong debugging and root-cause analysis skills for production-scale issues
- Experience working with observability tools (Prometheus, Grafana, ELK, tracing systems)
- Strong Linux systems knowledge and environment troubleshooting skills
- Understanding of networking, security, and infrastructure concepts (TLS, DNS, load balancing)
- Strong stakeholder communication and ability to translate platform quality risks into business impact
What do we desire?
- Experience in cloud platforms (AWS / Azure / GCP) and hyperscaler environments
- Exposure to chaos engineering frameworks and reliability validation tools
- Experience with contract testing and service-level validation strategies
- Familiarity with AI-driven test optimization, anomaly detection, or quality intelligence
- Strong understanding of high-availability systems and distributed system failure modes
What You Bring as a Platform QE Manager at AppViewX
- You think in systems, scale, and failure modes, not just test cases
- You ensure platform reliability under real workloads, not just functional correctness
- You drive non-functional quality as a release gate, not a post-release activity
- You build predictable platform behavior through automation, observability, and continuous validation
- You translate technical platform risks into customer and business impact
- You mentor teams to move from test execution to engineering-driven quality ownership
- You operate with strong ownership, data-driven decisions, and disciplined escalation
What brings us together?
What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can't wait to see the positive impact it would have on you too!
What’s more in store?
AppViewX offers competitive benefits including incentives, health & wellness policies, investment schemes, flexible work models, and strong learning & development opportunities. We empower our employees with flexibility, ownership, and trust to drive impact.
Why AppViewX?
AppViewX serves Fortune 1000 enterprises globally, including leading banks, media companies, and healthcare providers. With a strong global presence and deep customer trust, we continue to scale our platform and engineering capabilities to solve critical enterprise challenges.
Equal Opportunity Statement
AppViewX is an Equal Employment Opportunity Employer committed to diversity, inclusion, and fair employment practices.
Ready to apply?
Apply to AppViewX
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 Organization
The Data Foundations team drives Data Engineering and Data Apps & Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion.
- Revenue and Finance Automation- Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.
- Data Engineering Solutions- 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
As a Software Engineer, you will design and build platforms, and system solutions that are configurable and scalable around the globe. You will partner with many functions at Stripe, with the opportunity to both work on financial platform systems, as well as direct user-facing business impact.
Responsibilities
- Design, build, and maintain APIs, services, and systems across Stripe’s engineering teams.
- Work with engineers across the company to build new features at large-scale.
- Maintain a collaborative environment, engaging in discussions and decision-making processes with stakeholders within various domains at Stripe.
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
- 4+ years of experience in delivering, extending, and maintaining large scale distributed systems.
- Love to design systems that are elegant abstractions over complex patterns/practices, especially in the financial industry.
- Hold yourself and others to a high bar when working with production systems.
- Take pride in working on projects to successful completion involving a wide variety of technologies and systems.
- Think about systems, services, and platforms, and write high quality code.
- You have great product taste and a track record of taking complex problems and solving them elegantly.
- You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
- Enjoy working with a diverse group of people with different expertise.
Preferred qualifications
- Familiarity with large scale distributed systems.
- Experience working in high-growth teams similar to Stripe.
- If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.
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
Fee Insights builds fee explainability experiences that help merchants and internal teams understand what they're paying and why. We tackle this through agentic systems that provide natural language explanations grounded in canonical fee data, self-serve tooling, and also experiences that help users reconcile and understand complex pricing at scale.
Fee transparency and explainability are critical to merchant trust and satisfaction. As Stripe's product portfolio and pricing complexity has grown, helping users understand their fees—and how they align with their contract and product usage—has become increasingly important. We're solving fundamental questions around fee transparency, building the foundations that will scale across Stripe's merchant base.
What you’ll do
As a Software Engineer on Fee Insights, you'll work on crafting billing-related experiences for both internal teams and external merchants. You'll partner closely with product teams to build reporting, dashboards, insights, and guided user journeys that help users interact with pricing and understand fees. You’ll be navigating one of Stripe's most complex domains, gaining deep end-to-end understanding of how Stripe works—from payments to pricing to billing.
Responsibilities
- Building and iterating on fee explainability experiences that empower users to find answers independently
- Developing agentic systems with strong accuracy guarantees—building evaluation frameworks and ensuring reliability at scale
- Creating performant data aggregations and optimizations to handle complex pricing scenarios
- Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
- Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
- Independently identifying solutions to user pain points and executing against roadmaps
- Mentoring junior engineers and raising the technical bar for 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
- 5+ years of professional experience in a software development role
- Strong coding skills in any programming language
- Ability to drive and lead large-scale initiatives that solve critical business challenges
- Strong collaboration skills across teams and workstreams
- Track record of developing and delivering high-quality software using industry best practices
- Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability
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 Organization
Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.
You may work on a wide variety of critical business areas including:
Seller Systems: Responsible for building the systems and tooling that make Stripe’s sellers and internal revenue teams dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single “plane of glass” selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling.
Finance Engineering: Responsible for building the robust and scalable infrastructure that powers the company's core financial operations, including payments processing, fund settlement, accounting, and business intelligence. The Finance Engineering team is at the core of Stripe to empower mission-critical financial domains including Accounting, Finance operations, Finance & Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team. The use cases include financial analytics and insights, accounting automation, auditing, financial planning & forecasting, and financial business intelligence.
Marketing/Sales Systems: Responsible for building the most measurable, cross-channel messaging capability possible, to attract and engage customers. We will do this through scalable motions, with the most relevant messaging and increasing reach of our marketing motions. We are a cross functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel Stripe’s growth.
As part of the Marketing Systems team, you will own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ power better digital experiences, 2/ accelerate customer journey with intelligent orchestrations 3/ drive smarter decisions with CDP 4/ improve marketer and seller productivity.
What you’ll do
We’re looking for Software Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product – at Stripe to deliver innovative solutions that address evolving user needs.
Responsibilities
- Design, build, and maintain beautiful, robust, and high-performance APIs and services
- Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
- Hide complexity from our users behind simple yet powerful abstractions
- Partner closely with other engineers, analysts and scientists to build highly scalable system(s), to deliver delightful developer experiences and comprehensive interfaces
- Build the APIs that power internal stakeholder facing UI experiences, defining composable data models and durable interfaces.
- Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term.
- Improve engineering standards, tooling, and processes.
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
- 7-12 years of experience designing, implementing, and operating large-scale, high-performance APIs and services
- You have implemented server-side APIs in dynamic languages like Ruby, working with document and relational datastores (especially Mongo and MySQL).
- You enjoy spelunking through new datasets (especially in systems like Redshift or Presto/Trino).
- Empathetic, collaborative, and user-first mindset in everything you build
- Experience proactively seeking feedback from users, teammates, and subject matter experts
- The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact
- The ability to balance speed, complexity, and scope in service of user needs
- You have excellent oral and written communication.
Preferred Qualifications
- Experience with large-scale financial tracking systems
- Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)
- Experience in marketing domain building products that contribute to marketing tech stack.
- Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing.
- Prior experience building distributed systems or a microservices architecture
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 Data Pipeline: The Stripe Data Pipeline (SDP) team owns a critical product that sends all of a merchant's Stripe data directly to their data warehouse. This role is essential for delivering petabytes of data daily with high reliability and low latency, marching towards a 99.99% availability and near real-time data freshness. SDP's unique selling proposition is making data seamlessly available, serving a customer base that includes major technology and Fortune 100 companies.
Revenue and Finance Automation- Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.
Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc.
What you’ll do
We are seeking an experienced technical leader to join our team to shape and build a suite of products that will let our users model and operate their business more efficiently. In this role, you will work closely with engineering managers, senior engineers, and cross-functional partners to design the technical architecture of the product to enable scale, interoperability and an amazing user experience. You will help grow the team in India to become a strong leader in delivering the Revenue and Finance Automation vision. You will also have the opportunity to be hands-on in building key systems, while mentoring and leading other engineers. Join us in spearheading a transformational opportunity for Stripe.
Responsibilities
- Lead and Architect: Take ownership of end-to-end architecture and system design for large, complex projects. Drive technical decisions that ensure scalability, reliability, and high performance across distributed systems.
- Mentor and Influence: Provide technical leadership to other engineers on the team, setting best practices in system design, architecture, and operational excellence. Act as a mentor, guiding less experienced engineers to grow into senior roles.
- Drive Product Innovation: Innovate by leveraging the latest in ML, LLMs, and data technologies, driving new features that help businesses optimize their revenue with predictive insights and advanced analytics.
- Collaborate Cross-Functionally: Partner with product, design, and data teams to deeply understand business problems and craft solutions that balance user needs, system performance, and scalability.
- Tackle Complexity: Navigate ambiguous technical challenges, breaking down complex problems into actionable solutions, and driving them from inception to successful deployment.
- Champion System Scalability and Stability: Ensure Stripe’s reporting products continue to operate at scale while maintaining system stability and providing seamless user experiences, handling billions of data points efficiently.
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
- 10 + years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
- Experience in architecting and designing full-stack systems that deliver critical impact to a business
- You have great product taste and a track record of taking complex problems and solving them elegantly.
- You enjoy diving into and deeply understanding the businesses that use Stripe.
- You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
- You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
- You thrive on a high level of autonomy and responsibility.
- Strong collaboration skills to work effectively across multiple teams and stakeholders.
- Past experience mentoring and investing in the development of engineers.
- Pride in successfully completing projects involving a diverse range of technologies and systems.
Preferred Qualifications
- Familiarity with large scale distributed systems.
- Experience working in high-growth teams similar to Stripe.
- If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.
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
Staff Software Development Engineer
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About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About The Role
We are looking for a highly skilled Cloud Platform Developer to join a fast-paced and rapidly growing engineering team. The ideal candidate has a strong background in building and operating high-scale distributed systems and thrives in environments where ownership, technical excellence, and collaboration are essential.
Key Responsibilities
- Design, build, and maintain large-scale distributed systems that are reliable, performant, and scalable
- Contribute across the full software development lifecycle, from architecture and design to deployment, monitoring, and operations
- Collaborate closely with cross-functional engineering teams to deliver high- quality features and system improvements
- Debug complex production issues with strong analytical and problem-solving skills
- Drive technical initiatives, set best practices, and contribute to continuous improvement of system reliability and performance
- Provide technical leadership on new projects and infrastructure enhancements
Basic Qualifications
- 8+ years of software development experience in a fast-paced, high-growth environment
- Demonstrated experience building large-scale, distributed systems
- Proficiency in Go microservices and Kubernetes / SaaS platforms
- Experience operating distributed systems in production, with a strong sense of ownership and accountability
- Excellent communication skills and the ability to collaborate effectively across teams
Preferred Qualifications
- Proficiency in Secure Software Development practices
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
Senior Engineering Manager - Backend (Logistics)
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ABOUT QUINCE
Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
-
Customer First: We prioritize customer satisfaction in every decision.
-
High Quality: True quality means premium materials and rigorous production standards you can feel good about.
-
Essential Design: We focus on timeless, functional essentials instead of chasing trends.
-
Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
-
Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.
Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
OUR TEAM AND SUCCESS
At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
Responsibilities:
-
- Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles
- Active participation in the design, development, delivery, and maintenance of software projects
- Responsible for resource planning, execution, and quality of the software delivered by the group
- Lead the group to build sophisticated products using cutting-edge technology stack. The products will be used by retail customers and internal business users.
- Work closely with various business stakeholders like Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
- Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution
- Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value
- Tailor processes to help manage time-sensitive issues and bring them to appropriate closure
Skills required:
-
- A bachelor's degree in Computer Science with 7-9 years of experience
- Minimum 3+ years of experience in Java programming and any of the Java frameworks such as Spring or Spring boot
- Must have done Performance Appraisal, Hiring and building teams from ground up
- Experience of working in highly dynamic Engineering environment like a start-up
- Deep understanding of Object-Oriented programming languages
- Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
- Exposure to any of the prominent cloud service providers (AWS/Azure/GCP)
- Exceptional verbal and written communications skills
- Attention to detail and quality, and the ability to work well in and across teams
- Ability to advocate & influence multiple stakeholders
- Experience and knowledge of delivering products with low/no-touch support along with SRE principles
WHY QUINCE?
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
EQUAL OPPORTUNITY & HIRING INTEGRITY
Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
Security Advisory: Beware of Frauds
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Ready to apply?
Apply to Quince
ABOUT QUINCE
Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
-
Customer First: We prioritize customer satisfaction in every decision.
-
High Quality: True quality means premium materials and rigorous production standards you can feel good about.
-
Essential Design: We focus on timeless, functional essentials instead of chasing trends.
-
Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
-
Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.
Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
OUR TEAM AND SUCCESS
At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
Responsibilities:
- Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles
- Active participation in the design, development, delivery, and maintenance of software projects
- Responsible for resource planning, execution, and quality of the software delivered by the group
- Lead the group to build sophisticated products using a cutting-edge technology stack. The products will be used by retail customers and internal business users.
- Work closely with various business stakeholders, like the Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
- Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution
- Ensuring operational efficiency and actively participating in organisational initiatives with the objective of ensuring the highest customer value
- Tailor processes to help manage time-sensitive issues and bring them to an appropriate closure
Skills required:
- A bachelor's degree in Computer Science with 8-10 years of experience
- Minimum 3+ years of experience in Java programming and any of the Java frameworks, such as Spring or Spring Boot
- Must have done Performance Appraisal, Hiring and building teams from the ground up
- Experience of working in a highly dynamic Engineering environment like a start-up
- Deep understanding of Object-Oriented programming languages
- Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
- Exposure to any of the prominent cloud service providers (AWS/Azure/GCP)
- Exceptional verbal and written communication skills
- Attention to detail and quality, and the ability to work well in and across teams
- Ability to advocate & influence multiple stakeholders
- Experience and knowledge of delivering products with low/no-touch support, along with SRE principles
WHY QUINCE?
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
EQUAL OPPORTUNITY & HIRING INTEGRITY
Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
Security Advisory: Beware of Frauds
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Ready to apply?
Apply to Quince
Senior Machine Learning Engineer
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HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.
Open Problems
The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.
- Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
- Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
- Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.
Your focus will shift across these depending on where the highest-leverage work is at any given time.
What you will do
- Design and ship production ML systems across Chakra, integrity, and evaluation domains.
- Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
- Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.
- Define the architecture and production bar for different signal categories from scratch.
- Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.
- Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.
Who you are
- 4+ years building and shipping ML systems that run in production at scale.
- Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
- Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
- Proficient in Python, with practical experience building data pipelines and deploying models to production.
Even better if you have
- Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
- LLM experience: fine-tuning, RLHF, or multi-turn agentic systems.
- Background in adversarial ML, fraud detection, or anomaly detection.
- Publications or open-source contributions in detection, robustness, or evaluation methodology.
You will thrive here if
- Messy, undefined problems are more interesting to you than optimizing within clean ones.
- Ambiguity energizes you, especially when the right framing is itself part of the work.
- Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
- Defining what a system should be is more compelling than maintaining what already exists.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersSenior Software Engineer
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Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.
As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.
Key Responsibilities:
As a Senior Software Developer, you will be:
- Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
- Designing, implementing application code to satisfy product requirements
- Ensuring high product quality through rigorous code reviews and unit tests
- Fixing bugs and implementing enhancements
- Taking ownership of a significant product component in design and implementation
Requirements:
- We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
- The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
- An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
- Strong communication skills in a large-distributed development team environment are essential.
- Experience in Advertising Attribution domain is a plus
Requirements:
- BS or MS in Computer Science or related field
- 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
- Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
- Experience with SQL languages
- Experience working with container-based solutions is a plus.
- Experience working in a fast-paced technology environment.
- Strong object-oriented programming and design skills.
- Excellent problem solving, critical thinking, and communication skills.
- Ability and desire to learn new skills and take on new tasks.
Company Profile:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
We invite you to explore this opportunity to be a part of the Zeta family……
Should you need any assistance or require further information, please do not hesitate to contact us.
Ready to apply?
Apply to Zeta GlobalSenior QA Automation Engineer
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Greetings From Zeta Global !!
Requirements:
- Education:
- B.S. or M.S. in Computer Science or a related field.
- Experience:
- 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
- 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
- Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
- Web application testing experience required both in frontend and backend validations.
- Experience working in a fast-paced technology environment.
- Technical Skills:
- Knowledge and experience with Robot Framework and its libraries using Python.
- Strong proficiency in Python programming.
- Knowledgeable in Git workflows like branching, merging, and conflict resolution.
- Solid understanding of SDLC and Agile testing methodologies.
- Experience with Atlassian tools such as Jira and Confluence preferred.
- Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
- Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
- Experience working with container-based solutions is a plus.
- Soft Skills:
- Strong communication and interpersonal skills.
- Excellent problem-solving, critical thinking, and analytical skills.
- Ability and desire to learn new skills and take on new tasks.
Responsibilities:
- Testing and Automation:
- Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
- Continuously improve the test automation strategy to enhance test coverage and efficiency.
- Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
- Automate tests to ensure functional requirements and performance KPIs are met.
- Ensure high product quality through rigorous functional and API level tests.
- Collaboration and Mentorship:
- Understand business requirements independently and cooperatively.
- Mentor and guide other QA engineers on best practices in test automation.
- Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.
- Development and Documentation:
- Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
- Develop comprehensive test plans covering business use cases and test cases.
- Identify, record, document thoroughly, and track bugs.
- Perform thorough regression testing when bugs are resolved.
Company Summary
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
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Apply to Zeta GlobalSenior Data Engineer
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We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.
What You’ll Do
- Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
- Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
- Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
- Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
- Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
- Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
- Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.
5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).
- Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
- Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
- Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
- Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
- Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
- Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
- Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
- Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.
- AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
- Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
Experience supporting ML feature stores, offline/online feature generation, or model training datasets.
- Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
- Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
- Open-source contributions, publications, or conference speaking.
- BS/MS in CS/Engineering or equivalent practical experience.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
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Apply to Zeta GlobalSenior Application Security Engineer
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We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.
Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.
This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.
Key Responsibilities:
Threat Modeling & Security Validation
- Conduct threat modeling and security reviews for distributed cloud-native systems.
- Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
- Participate in incident response exercises and red/blue team simulations.
- Assess third-party libraries, APIs, and vendor integrations for security compliance.
Embedding Security into the SDLC
- Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
- Review architecture and design documents to identify and mitigate risks early.
- Contribute to security automation initiatives and tooling to improve developer velocity.
- Support security checkpoints in release and deployment processes.
Emerging Threat Monitoring & Proactive Defense
- Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
- Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
- Support investigations and post-incident reviews to strengthen detection and prevention capabilities.
Security Awareness & Policy Implementation
- Advocate secure coding and best practices through code reviews, workshops, and documentation.
- Contribute to internal security standards and playbooks.
- Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.
What You Need to Succeed
- Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
- 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
- Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
- Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
- Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
- Solid collaboration and communication skills with cross-functional teams.
Nice to Have
- Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
- Experience with automation frameworks and scripting for security testing.
- Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)
WHO WE ARE
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
ZETA IN THE NEWS!
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Apply to Zeta GlobalLead Software Engineer
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At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.
We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.
You Will:
- Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
- Develop and optimize event-driven pipelines and workflows processing billions of signals.
- Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
- Ensure reliability, observability, and scalability across services and data pipelines.
- Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
- Mentor engineers and influence architecture and roadmap decisions.
You Have:
- 7+ years of experience in backend and/or data engineering at scale.
- Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
- Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
- Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
- Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
- Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
- Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
- Familiarity with CI/CD and automated testing practices for backend services.
- Strong communication skills and a track record of driving technical direction and mentoring teams.
Bonus Skills:
- Experience with large-scale or multi-tenant distributed systems.
- Exposure to real-time streaming frameworks (Flink, Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
- Background in security, compliance, or privacy related to identity systems.
Company Summary:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
We invite you to explore this opportunity to be a part of the Zeta family……
Should you need any assistance or require further information, please do not hesitate to contact us.
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Apply to Zeta GlobalStaff Backend Engineer
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As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.
Key Responsibilities
- System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
- Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
- Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
- Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
- Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
- Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.
Required Qualifications:
- 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
- Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
- Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
- Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
- Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
- Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
- Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
- Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
- Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.
Preferred Qualifications:
- Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
- High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
- Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
- Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
- Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
- Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
Ready to apply?
Apply to Zeta GlobalSr AI/ML Engineer
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As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.
Key Responsibilities
- Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
- ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
- Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
- AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
- Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
- Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
- Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.
Required Qualifications
- 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
- Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
- Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
- Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
- Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
- Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
- Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
- Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
- Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
- Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
- Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
- Experience with model serving and optimization for real-time inference (latency-critical environments).
- Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
- Knowledge of microservices architecture and event-driven design patterns in distributed systems.
- Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
Ready to apply?
Apply to Zeta GlobalSecure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!
Job Duties and Responsibilities
- Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
- Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
- Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph)
- Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
- Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
- Support & resolve production issues across the full application stack
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
- Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
- Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
- Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
- Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and Retrieval Augmented Generation (RAG)
Education and Certifications
- A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
- AWS cloud Certification or any ERP foundation certificate is a plus
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The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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Apply to Okta
MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software.
We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.
As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. We are open to considering candidates in other cities, including in Gurugram
Position Expectations
- Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service
- Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
- Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
- Mentor fellow engineers and assume ownership and accountability of projects
Qualifications
- Strong background in building core components for high scale compute and data distributed systems
- 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
- Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
- Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
- Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery
- Good verbal and written technical communication skills, desire to collaborate with colleagues
- Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
- Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
- Eager to learn, with a strong technical background
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 - 1273354568
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Staff Software Engineer - AI Traffic & Inference Infrastructure
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Please complete the attached Internal Transfer Request Form and submit.
Please make sure to apply with your Coupang e-mail address.
Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.
What You Will Do
-
Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health.
-
Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover.
-
Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques.
-
Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands.
-
Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments.
-
Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management.
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
-
Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
-
Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
-
Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
-
Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.
-
Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.
Preferred Qualifications
-
AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
-
Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
-
Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
-
Compliance: Experience operating in regulated environments with strict security and compliance requirements.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang Internal
Staff Software Engineer - AI Traffic & Inference Infrastructure
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Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.
What You Will Do
-
Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health.
-
Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover.
-
Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques.
-
Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands.
-
Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments.
-
Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management.
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
-
Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
-
Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
-
Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
-
Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.
-
Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.
Preferred Qualifications
-
AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
-
Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
-
Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
-
Compliance: Experience operating in regulated environments with strict security and compliance requirements.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang
A Career with Point72's Technology Team
As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.
What you'll do
- Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance.
- Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions.
- Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.
- Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications.
- Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms.
- Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.
- Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business.
- Ensure compliance with industry standards and best practices in AI/ML.
What's required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems.
- Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven environments).
- Experience leading other engineers in delivering large-scale solutions iteratively, including setting technical vision, reviewing designs, and growing team capabilities.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of distributed systems, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and modern CI/CD practices.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and influence across teams.
- Commitment to highest ethical standards.
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.
Ready to apply?
Apply to Point72
Machine Learning Engineer, Chakra
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HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.
Open Problem
An interview that thinks, listens and gets it right every time.
Running an interview is easy. Running a good one is hard.
Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.
Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.
Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.
That is where the field currently falls short. Closing that gap is the work.
What you'll do
- Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
- Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
- Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
- Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
- Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
- Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.
Who you are
- You have built and shipped agentic or conversational AI systems in production, not just prototypes.
- You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
- You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
- You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.
Even better if you have
- Experience building multi-turn conversational agents or interview-style AI systems.
- Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
- Background in dialogue systems, conversational evaluation, or rubric-based scoring.
- Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.
You will thrive in this role if
- You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has.
- You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersMachine Learning Engineer, Integrity
Share this job
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The integrity of that system is not a feature. It is the foundation.
Open Problem
The fraud gets smarter every quarter. The models have to keep up.
Integrity isn't about whether you use AI or not; it's about whether you are following the rules. Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences. Each signal is independently trained, operates on a different modality, and has its own precision-recall tradeoff and failure distribution. That heterogeneity is not a design choice we made lightly. It reflects the fact that no single modality is sufficient, and that the most informative signal depends heavily on context. A model at 92% precision on today's proxy attempt patterns can sit at 74% within two quarters, not because the model degraded, but because the attack surface shifted and the training distribution did not.
The fusion problem is where current approaches hit a ceiling. Naive aggregation across signals does not work because the signals are not independent and their reliability varies with context. What is needed is calibrated uncertainty at the signal level, a principled way to weight evidence depending on conditions, and the ability to detect when a signal has drifted out of its reliable operating range. The field has good solutions for static multimodal fusion. It does not have good solutions for adversarially non-stationary multimodal fusion where the ground truth labels are expensive, delayed, and partially unobservable.
Latency adds a constraint that rules out many otherwise viable architectures. Inference runs during a live assessment, which bounds what is deployable regardless of accuracy. That means the model quality problem and the systems problem have to be solved together, not sequentially. And the system has to generalize across populations and environments it was not trained on, without encoding the kinds of demographic biases that make a technically accurate classifier practically indefensible.
The honest summary: the current generation of integrity tooling, ours and the market's, has a precision ceiling that the next wave of fraud techniques will break through. Raising that ceiling requires building past what exists, not fine-tuning it.
What you'll do
- Standardize how model quality is defined, measured, and reported across all integrity signals. Build the evaluation infrastructure, golden datasets, and benchmarking pipelines that give us and our customers genuine confidence in what we ship
- Own the performance improvement strategy for each signal. Explore newer architectures, emerging research, and different training paradigms. The approach will not be one-size-fits-all; it will be grounded in each signal's maturity, data quality, and what the science actually supports
- Define the ML strategy for new signals from scratch: audio analysis, gaze tracking, behavioral anomalies. Set the architecture, data requirements, and a clear bar for what production-ready looks like before anything ships
- Continuously monitor how assessment fraud tooling is evolving. Evaluate new models as they emerge. Know when to abandon a strategy that is no longer moving the needle
- Systematically surface edge cases, build training data around them, and turn every customer-reported failure into a model that is harder to fool
- Drive strategy-level decisions: which new signals to build, whether to use models at all, and what the evidence says
Who you are
- You have shipped ML systems in production that real users and real businesses depend on
- You have deep intuition for where precision leaks happen and how to find them systematically, not by luck
- You think in systems. A signal's accuracy number, its data pipeline, its serving infrastructure, and its customer-facing outcome are one problem to you
- You care as much about evaluation methodology as model performance. You know that a metric measured wrong is worse than no metric
- You are genuinely curious about adversarial dynamics. The fact that your model will be attacked is interesting to you, not exhausting
Even better if you have
- Experience with multimodal systems in production: vision, audio, or behavioral signal pipelines
- Background in adversarial ML or fraud/anomaly detection
- Publications or open-source work in detection, robustness, or model evaluation
- Prior experience defining what production-ready means for a new signal category from scratch
You will thrive in this role if
- You find the performance improvement problem as interesting as the model problem.
- You are energized by adversarial environments where the threat landscape shifts under your feet and the only valid response is to stay ahead of it.
- You do not inherit clean problems and optimize within them.
- You define what the problem even is, and you hold yourself to a higher bar than the one the market has set.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersMachine Learning Engineer, Evaluation
Share this job
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve.
Open Problem
How do you measure skill when AI is already in the room?
Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and every other context in which someone is trying to figure out how good a developer actually is. The tools developers use are changing fast. The frameworks we use to evaluate them have not kept up.
For over a decade, skills-based hiring relied on deterministic evaluation: a candidate's code either passed test cases or it did not. The score was binary and reproducible. What replaces it is genuinely unsolved. Nobody has cracked how to fairly assess human skill in a world where AI assistance is ambient and invisible, where the question is no longer "can you write this function" but "how effectively do you use AI to solve a real problem."
We are moving from a deterministic evaluation to evaluation by a council of LLMs. But making that consistent, scalable, and defensible across hundreds of thousands of assessments is a hard research and engineering problem. How do you ensure the same rubric is applied the same way to the 200,000th candidate as to the first? How do you detect when your evaluation model is drifting? How do you explain a score to a candidate who believes they were assessed unfairly?
HackerRank sits at the center of this problem with a rare combination of scale, longitudinal data, and direct relationships with the companies making hiring decisions. The opportunity here is to define what rigorous, fair, and meaningful skill evaluation looks like in the agentic era. That methodology does not exist yet. This role exists to build it.
What you will do
- Build LLM-powered evaluation pipelines that assess AI usage skills consistently, fairly, and at production scale.
- Own the evaluation methodology end to end- what the rubric is, how the model applies it, how you measure whether it is being applied correctly, and how you audit for bias.
- Design and run experiments to determine what good evaluation actually looks like. The answer is not known. You will be finding it.
- Build RAG pipelines and fine-tuning workflows that make evaluation models adhere reliably to the rules we set for them.
- Define the benchmarking infrastructure: how we know when our evaluation quality has improved, and how we catch regressions before candidates do.
- Translate model behavior into outcomes that product managers, enterprise customers, and candidates can understand and trust.
Who you are
- You have shipped LLM-powered systems in production where consistency and reliability were hard constraints, not nice-to-haves.
- You think as rigorously about how you measure your model as about the model itself. A poorly constructed eval is a worse outcome than a weaker model.
- You have a research mindset. You are comfortable operating in a space where the right methodology does not exist yet and needs to be invented.
- You think in systems. The data pipeline, the model, the serving layer, and the rubric it enforces are one problem to you.
- You can defend ML judgment in plain language to people who are not ML engineers, because the translation layer is part of the job.
Even better if you have
- Experience building evaluation frameworks for generative or conversational AI systems.
- Background in educational assessment, psychometrics, or human-in-the-loop evaluation at scale.
- Publications or open-source contributions in LLM evaluation, benchmarking, or alignment.
- Prior work at the interface of research and product, where you had to ship science, not just publish it.
You will thrive here if
- You find the measurement problem as interesting as the model problem, maybe more interesting.
- You hold evaluation methodology to the same standard as model performance, and you are uncomfortable shipping something you cannot explain.
- You want your work to define what good looks like in a field that is just now figuring that out.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Role Overview
At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. Our platform leverages Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to automate infrastructure management, deployment operations, incident response, platform intelligence, and customer instance lifecycle management.
We are looking for a highly experienced Staff Platform Engineer to lead the architecture, automation, scalability, and operational maturity of our platform infrastructure and engineering ecosystem. This role requires deep expertise across cloud infrastructure, distributed systems, networking, DevOps, platform engineering, security, and intelligent automation.
As a senior technical leader, you will drive platform strategy, define engineering standards, mentor engineers, and build highly scalable and resilient systems that improve developer productivity, operational efficiency, security, and customer experience.
Platform Architecture, Engineering & Reliability
- Architect and build scalable, secure, and highly available cloud-native platforms on Microsoft Azure
- Design and manage infrastructure automation using Terraform, GitOps, and Infrastructure as Code (IaC)
- Build and improve CI/CD systems, deployment orchestration, environment provisioning, and self-service developer platforms
- Design secure networking and authentication systems using Cloudflare, API gateways, private networking, and Zero Trust principles
- Drive platform reliability, scalability, observability, security, and operational excellence across production environments
- Lead incident management, root cause analysis, operational governance, deployment reliability, and resiliency improvements
- Build AI/LLM and Agentic operational workflows for troubleshooting, automation, operational insights, and intelligent platform management
- Improve operational efficiency through automation, intelligent tooling, anomaly detection, and cloud cost optimization
- Strong hands-on coding experience in Python, Go, or modern programming languages with strong system design and problem-solving fundamentals
- Deep understanding of cloud-native architectures, distributed systems, networking, CI/CD, infrastructure automation, and platform engineering principles
- Experience building internal developer platforms, self-service systems, operational tooling, and AI-assisted engineering workflows
- Strong understanding of SDLC, DevOps practices, Agile methodologies, release governance, and production operational models
- Strong troubleshooting and debugging skills across infrastructure, cloud, deployment, networking, and application layers
Technical Leadership & Collaboration
- Partner with engineering, architecture, security, and product teams to define platform standards and long-term technical strategy
- Improve developer experience, platform adoption, deployment reliability, and operational maturity across teams
- Lead architecture discussions, operational reviews, and production readiness initiatives
- Mentor engineers and drive engineering best practices across platform and infrastructure domains
- Drive engineering culture around automation, scalability, reliability, operational excellence, and platform standardization
- Strong communication, collaboration, stakeholder management, and technical leadership skills
Experience
- 10+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, SRE, or Cloud Engineering
- Extensive experience managing large-scale production environments on Microsoft Azure
- Experience with Kubernetes, container platforms, GitOps, Terraform, and cloud-native systems
- Experience building enterprise-grade CI/CD and deployment automation platforms
- Experience driving operational excellence, observability, reliability engineering, and infrastructure automation initiatives
- Experience leading cross-functional technical initiatives and mentoring engineers
- Experience with AI/LLM workflows, coding agents, and intelligent automation systems is a strong plus
Technical Skills
Cloud & Infrastructure
- Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics
Infra, DevOps, Automation and Building Platform
- Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language
Networking & Security
- Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts
Observability & Operations
- Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering
AI & Platform Intelligence
- LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights
Nice To Have
- Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Role Overview
At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. We leverage Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to simplify infrastructure management, deployment automation, incident response, and platform operations across multiple environments and customer instances.
We are looking for a highly skilled Senior Platform Engineer who can design, build, automate, and operate large-scale cloud platforms while driving engineering excellence across infrastructure, networking, security, CI/CD, observability, and platform automation.
This role requires strong hands-on technical expertise, ownership mindset, system thinking, and the ability to collaborate across engineering, DevOps, security, and product teams.
Platform Engineering & Operational Excellence
- Design, build, and operate scalable, secure, and highly available cloud infrastructure on Microsoft Azure
- Build and manage platform services including networking, authentication, CI/CD, observability, deployment automation, and self-service systems
- Develop reusable Infrastructure as Code (IaC) frameworks using Terraform, GitOps, and modern automation practices
- Design secure network architectures including VNets, private networking, routing, WAF, API gateways, and Zero Trust principles
- Build automated deployment, environment provisioning, and multi-instance platform management workflows
- Improve platform reliability, operational stability, monitoring, alerting, logging, tracing, and incident response processes
- Drive operational automation, platform resilience, release governance, rollback strategies, and deployment reliability
- Build developer productivity tooling and self-service workflows for platform operations and environment management
- Contribute hands-on using Python, Go, or modern programming languages to build scalable systems, internal platforms, and automation frameworks
- Apply strong system design, distributed systems, troubleshooting, and problem-solving skills across cloud, network, deployment, and infrastructure layers
- Leverage AI/LLM-driven workflows, coding agents, and Agentic systems to improve operational efficiency, automation, incident management, and platform intelligence
- Drive cloud cost optimization, usage visibility, anomaly detection, and operational efficiency initiatives
- Strong understanding of SDLC, DevOps, Agile methodologies, release governance, production operations, and Site Reliability Engineering (SRE) practices
- Strong ownership mindset with focus on scalability, automation, reliability, operational excellence, and developer productivity
Collaboration & Leadership
- Partner with engineering, security, architecture, and product teams to define platform standards, operational processes, and long-term technical strategy
- Work closely with application teams to improve platform adoption, deployment reliability, and developer experience
- Collaborate with security teams to implement authentication, authorization, governance, compliance, and operational security standards
- Participate in architecture reviews, production readiness reviews, operational planning, and incident management discussions
- Mentor engineers and contribute to platform engineering best practices, technical standards, and documentation
- Drive technical discussions and contribute to platform modernization and intelligent automation initiatives
Experience
- 6+ years of experience in Platform Engineering, DevOps, SRE, or Cloud Infrastructure Engineering
- Hands-on experience managing production-scale Azure environments and enterprise-grade CI/CD systems
- Experience working with Kubernetes, cloud-native platforms, infrastructure automation, observability, and distributed systems
- Experience supporting multi-environment and multi-tenant platform operations at scale
- Experience with AI-assisted engineering workflows, operational tooling, or intelligent automation systems is a strong plus
- Strong communication, collaboration, and technical leadership capabilities
Technical Skills
Cloud & Infrastructure
- Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics
Infra, DevOps, Automation and Building Platform
- Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language
Networking & Security
- Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts
Observability & Operations
- Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering
AI & Platform Intelligence
- LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights
Nice To Have
- Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools
Why Join Us
At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.
Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.
We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.
We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIStrength in Trust
OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.
The Challenge
We are looking for a Senior level SDET to support our product development teams. As the Principal SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products.
Your Mission
- Provide technical leadership and guidance to the SDET team.
- Collaborate with development and QE (Quality Engineering) teams to integrate testing into the software development process.
- Design, develop, and maintain scalable and efficient test automation frameworks and test architectures.
- Rub shoulders with developers in writing unit and integration tests using their tools and frameworks.
- Ensure the frameworks support various testing types, including functional, integration, and performance testing.
- Mentor and guide junior SDETs, providing technical expertise and career development support.
- Conduct training sessions to enhance the skills of the testing team.
- Foster a culture of innovation, collaboration, and continuous learning within the team.
- Collaborate with cross-functional teams to develop comprehensive test plans.
- Execute and oversee the execution of test cases, ensuring thorough coverage of functional and non-functional requirements.
- Analyze test results and provide meaningful insights to improve product quality.
- Work closely with developers, product managers, and other stakeholders to understand requirements and user stories.
- Communicate effectively with team members and stakeholders, providing clear updates on testing progress and issues.
- Add, maintain, and update scripts in existing automation suite, helping with running the suite across various checkpoints in the release cycle.
- Participate in various POCs (Proof of Concept) to keep the automation framework and technology relevant and current to product offerings.
- Conduct peer reviews of test code and automation frameworks.
You Are
- You are a seasoned SDET with an automate‑anything‑anywhere attitude, looking for a challenging technical leadership role in a dynamic and innovative company.
- You can efficiently identify the underlying cause of failures in integrated environments and alert the appropriate teams.
- You are consistently willing to step in to support long‑running deployments, even outside regular working hours.
- You are eager to learn and adopt new skillsets to support an evolving technology landscape, including Cloud computing and AI (Artificial Intelligence).
- You can understand complex product and deployment architectures and design efficient test solutions.
- You want to be part of a team that is passionate about delivering high‑quality software solutions.
Your Experience Includes:
- Bachelor’s degree in Computer Science, Engineering, or a related technical or business field.
- 4+ years of relevant experience working as a developer, automation engineer, or SDET.
- 4+ years of experience coding in Java with strong practical knowledge of OOPs and Core Java principles.
- 4+ years of experience contributing to Test‑Driven Development (TDD) or Behavior‑Driven Development (BDD) using tools such as Cucumber, JUnit, Mockito, or TestNG.
- 3+ years of experience with CI/CD tools such as Jenkins, Circle CI, or Azure DevOps, with the ability to create test pipelines using Java or Groovy.
- 4+ years of experience with Selenium or Cypress frameworks for automating GUI (User Interface) and end‑to‑end tests.
- 4+ years of experience with REST Assured or similar tools such as Postman for API automation.
- 4+ years of experience working in a highly automated CI/CD environment.
- 4+ years of experience with source control tools such as Bitbucket, GitHub, or GitLab.
- 2+ years of experience analyzing logs for troubleshooting using tools such as Splunk, Dynatrace, or Coralogix.
- 3+ years of experience working in cloud environments, preferably Azure, with exposure to services such as Gateways, Redis, Storage, Virtual Machines (VMs), and Kubernetes clusters.
- 3+ years of experience in mobile application testing (native and web) using Appium on real devices and simulators, either in private device farms or with third‑party vendors such as Sauce Labs or BrowserStack.
- 4+ years of experience working with geographically distributed teams across the US, Canada, and India.
- Strong analytical, critical‑thinking, and problem‑solving skills.
- Ability to work collaboratively, take initiative, solve problems independently, and mentor others.
- Passion for high‑quality work and strong attention to detail.
- Strong oral and written communication skills.
Extra Awesome:
- Prior exposure to AI/ML systems and their application in testing to make test pipelines more intelligent.
- Experience analyzing CPU utilization, memory usage, network usage, garbage collection, and database parameters and reports to validate application performance.
- Ability to design and spin up scalable test architectures using Docker or Kubernetes.
- Experience with Kubernetes and advanced usage patterns for test grids and auto‑scaling capabilities.
Where we Work
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits
As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.
Resources
Check out the following to learn more about OneTrust and its people:
Your Data
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.
Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Ready to apply?
Apply to OneTrust
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Access Management Engineering Team
The Okta Access Management Team builds the foundation for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. The Access Essentials team is part of Workforce Identity Cloud (WIC) Engineering. Our team is fast-growing and impactful at Okta. Join our team and develop foundational blocks for products that help our customers daily, such as Okta FastPass, Okta Device Assurance, and Okta Device Access. Learn more about Okta’s Engineering on our blog.
About You
The team is seeking a highly technical and experienced engineer on Android application platform & SDKs. The ideal candidate should have solid experience in software development and be enthusiastic about writing Android client software. The role gives the candidate an excellent opportunity to learn about interesting problems in the security and identity space.
- You will join the Android Client Foundations team to design and implement foundational blocks and core platform components for Okta’s mobile line of products like Android Okta Verify app, Fastpass, Device Assurance etc and public SDKs.
- You are a highly technical and experienced engineer. You have a passion for working on mobile platforms, with deep expertise and extensive experience on the Android platform.
- You have successfully built an enterprise or consumer product on the Android platform.
- You are comfortable leading the technical path of an organization breaking ground in a new frontier.
- You will enjoy a high degree of responsibility and impact within Okta.
Job Duties and Responsibilities
- Lead the design, development, and delivery of Okta products.
- Collaborate closely with product managers, designers, and backend engineers to translate requirements into robust and effective solutions.
- Commit to high programming standards by reviewing code and writing unit, functional, and UI tests.
- Optimize applications for speed, scalability, and responsiveness across various devices and browsers.
- Participate in code reviews, providing constructive feedback and ensuring code quality across the team.
- Proactively identify and address technical debt, performance bottlenecks, and areas for improvement.
- Stay up-to-date with the latest trends and technologies in Linux development, evaluating and recommending new tools and approaches.
- Champion a culture of continuous improvement, innovation, and technical excellence within the team.
Required Knowledge, Skills, And Abilities
- 10 - 15 years of professional software development experience
- Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
- Develop and maintain high-quality Android applications using Kotlin.
- Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.
- Strong communication skills and the ability to work across functions.
- Strong debugging and problem-solving skills to identify, diagnose, and resolve complex issues across various Android OS versions and device types.
- Proven track record of designing and implementing highly durable, resilient, and enterprise-grade secure solutions that withstand complex security threats.
Nice-to-haves
- Understanding of Identity and Access Management protocols and architecture (FIDO, U2F, WebAuth, SSO, SAML, Kerberos, OAuth, Federation, etc.)
- Security or Systems development experience on Android, such as root detection, code signing, or tamper resistance experience, PKI, SafetyNet.
- Knowledge of Mobile Device Management.
- Experience working on public-facing SDKs.
Education:
- Bachelor’s degree in Computer Science or equivalent experience.
#LI-Hybrid
#P25115_3437187
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
Ready to apply?
Apply to Capco