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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku pioneered 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
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.
Roku is the #1 TV streaming platform in the US, 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 with 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 worldwide while gaining meaningful experience across various disciplines.
About the team
Our team’s mission is to build cutting-edge advertising technology to support and help grow sustainable advertising business. The team owns server technologies, reporting infrastructure, data, cloud services, and test engineering for the advertising platforms within Roku. We also work closely with internal and external customers to help them achieve their advertising goals.
About the role
We are looking for an experienced manager to help grow the team, manage priorities, and communicate with stakeholders in an effective way. The role requires excellent communication skills in addition to a strong engineering background. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.
What you’ll be doing
- Help grow the engineering team
- Build scalable, resilient, and performant distributed systems for data processing, reporting and analytics
- Work across engineering teams, data science, and product management to influence the direction of work and architecture
- Communicate with internal stakeholders to inform and influence requirements and delivery
- Take complete ownership of impactful initiatives and make pragmatic technical decisions.
- Stakeholder management, developing good understanding of advertising business needs, building domain knowledge to understand systems and data better
We’re excited if you have
- 15+ years engineering experience working with modern big data technologies: Spark, Airflow, Scala, Java python, relational databases and related technologies
- 6+ years’ experience leading technical teams and large-scale data processing systems
- Experience building, growing and managing teams
- Subject matter expertise in advertising and data processing
- Solid understanding of data engineering, big data technologies, analytics and data science
- Strong communication skills
- Self-motivated individual with a high level of accountability and ownership
- Critical thinker and practical decision maker
- Can do, results-oriented mindset
- Nonpolitical, collaborative, and team oriented
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
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Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
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Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
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Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
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Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
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Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
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Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
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Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
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Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
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Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
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Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
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Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
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8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
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Expertise in developing low latency APIs
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Strong understanding of SOLID principles and distributed systems architecture.
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Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
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Experience in AdTech, in advertising data platforms and audience management. (preferred)
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Strong programming skills in Python, Java, and/or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
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Expertise in developing low latency APIs
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Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
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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 Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
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Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
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Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
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Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
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Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
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Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
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Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
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Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
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Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
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Expertise with atleast one of the following Apache Druid, StarRocks, and Trino.
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Strong understanding of SOLID principles and distributed systems architecture.
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Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Familiarity with additional big data technologies, including Hadoop and Kafka.
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Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
-
Strong programming skills in Python, Java, or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
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
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team’s systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales & Operations, Finance, etc.
Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg.
What you’ll do
As a Software Engineer on our team, you will do the following:
- Design, build, and maintain innovative next-generation or first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency.
- Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
- Ensure operational excellence and enable a highly available & reliable Data Orchestration platform across batch workloads.
- Collaborate nimbly with high-visibility teams and their stakeholders to support their key initiatives - while building a robust platform that benefits all of Stripe in the long term.
- Plan for the growth of Stripe’s infrastructure by unblocking, supporting, and communicating proactively with internal partners to achieve results. ● Connect your work with improvements in the usability and reliability of Open Source Software (OSS) like Apache Airflow, Iceberg, Spark and contribute back to the OSS community.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 8+ years of professional experience writing high quality production level code or software programs and interest in Data Infrastructure.
- Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus.
- Has experience developing, maintaining, and debugging distributed systems built with open source tools
- Has experience building infrastructure-as-a-product with a strong focus on users needs
- Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants.
- Has the curiosity to continuously learn about new technologies and business processes.
- Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration.
Preferred qualifications
- Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus.
- Has experience designing APIs or building developer platforms ● Has experience optimizing the end to end performance of distributed systems ● Has experience with scaling distributed systems in a rapidly moving environment ● Has experience working with Airflow Infrastructure.
- Genuine enjoyment of innovation and a deep interest in understanding how things work
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
Office location - Bengaluru , KA, India
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
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?
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Senior 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 GlobalCDP ETL & Database Engineer
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CDP ETL & Database Engineer
The CDP ETL & Database Engineer will specialize in architecting, designing, and implementing solutions that are sustainable and scalable. The ideal candidate will understand CRM methodologies, with an analytical mindset, and a background in relational modeling in a Hybrid architecture.The candidate will help drive the business towards specific technical initiatives and will work closely with the Solutions Management, Delivery, and Product Engineering teams. The candidate will join a team of developers across the US, India & Costa Rica.
Responsibilities:
- ETL Development – The CDP ETL C Database Engineer will be responsible for building pipelines to feed downstream data They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar with different encoding formats and file layouts such as JSON and XML.
- Implementations s Onboarding – Will work with the team to onboard new clients onto the ZMP/CDP+ The candidate will solidify business requirements, perform ETL file validation, establish users, perform complex aggregations, and syndicate data across platforms. The hands-on engineer will take a test-driven approach towards development and will be able to document processes and workflows.
- Incremental Change Requests– The CDP ETL C Database Engineer will be responsible for analyzing change requests and determining the best approach towards implementation and execution of the This requires the engineer to have a deep understanding of the platform's overall architecture. Change requests will be implemented and tested in a development environment to ensure their introduction will not negatively impact downstream processes.
- Change Data Management – The candidate will adhere to change data management procedures and actively participate in CAB meetings where change requests will be presented and Prior to introducing change, the engineer will ensure that processes are running in a development environment. The engineer will be asked to do peer-to-peer code reviews and solution reviews before production code deployment.
- Collaboration s Process Improvement – The engineer will be asked to participate in knowledge share sessions where they will engage with peers, discuss solutions, best practices, overall approach, and The candidate will be able to look for opportunities to streamline processes with an eye towards building a repeatable model to reduce implementation duration.
Job Requirements:
- The CDP ETL & Database Engineer will be well versed in the following areas:
- Relational data modeling.
- ETL and FTP concepts.
- Advanced Analytics using SQL Functions.
- Cloud technologies - AWS, Snowflake.
- Able to decipher requirements, provide recommendations, and implement solutions within predefined.
- The ability to work independently, but at the same time, the individual will be called upon to contribute in a team setting.
- The engineer will be able to confidently communicate status, raise exceptions, and voice concerns to their direct manager.
- Participate in internal client project status meetings with the Solution/Delivery management.
- When required, collaborate with the Business Solutions Analyst (BSA) to solidify.
- Ability to work in a fast paced, agile environment; the individual will be able to work with a sense of urgency when escalated issues arise.
- Strong communication and interpersonal skills, ability to multitask and prioritize workload based on client demand.
- Familiarity with Jira for workflow , and time allocation.
- Familiarity with Scrum framework, backlog, planning, sprints, story points, retrospectives.
Required Skills:
- ETL – ETL tools such as
- Talend (Preferred, not required)
- DMExpress – Nice to have
- Informatica – Nice to have
- Database - Hands on experience with the following database Technologies
- Snowflake (Required)
- MYSQL/PostgreSQL – Nice to have
- Familiar with NOSQL DB methodologies (Nice to have)
- Programming Languages – Can demonstrate knowledge of any of the
- PLSQL
- JavaScript Strong Plus
- Python - Strong Plus
- Scala - Nice to have
- AWS – Knowledge of the following AWS services:
- S3
- EMR (Concepts)
- EC2 (Concepts)
- Systems Manager / Parameter Store
- Understands JSON Data structures, key value
- Working knowledge of Code Repositories such as GIT, Win CVS,
- Workflow management tools such as Apache Airflow, Kafka, Automic/Appworx
- Jira
Minimum Qualifications:
- Bachelor's degree or equivalent.
- 4+ Years' experience.
- Excellent verbal C written communications skills.
- Self-Starter, highly motivated.
- Analytical mindset.
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.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen-ai-marketing-automation/
https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html
https://www.businesswire.com/news/home/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-
Guidance
https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html
https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and- cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html
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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……
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About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
Job Description
PayPay's rapid growth necessitates the expansion of its product teams and underscores the critical need for a resilient Data Engineering Platform. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite.
We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.
Main Responsibilities
- Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.
- Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.
- Develop data processing workflows using Databricks, Delta Lake, and Spark technologies.
- Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.
- Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.
- Collaborate across teams to facilitate smooth data flow and integration.
- Enforce best practices in observability, data governance, security, and regulatory compliance
Qualifications
- Minimum 7 years as a Data Engineer or similar role.
- Hands-on experience with Databricks, Delta Lake, Spark, and Scala.
- Proven ability to design, build, and operate Data Lakes or Data Warehouses.
- Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).
- Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).
- Strong command of at least one primary language (Scala, Python, etc.) and SQL.
- Experience with data catalog and metadata management (Unity Catalog, Lakeformation).
- Experience in Infrastructure as Code (IaC) using Terraform.
- Excellent problem-solving and debugging abilities for complex data challenges.
- Strong communication and collaboration skills.
- Capability to make informed decisions, learn quickly, and consider complex technical contexts.
- Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
Remarks
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Gurugram (Wework)
＊The development center requires you to work in the Gurugram office to establish the strong core team.
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Apply to PayPay IndiaToast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
Bready* to make a change?
Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.
About this Roll*:
- Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
- Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
- Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
- Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
- Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
- Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.
Do you have the right ingredients*?
- Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
- Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
- Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
- Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
- System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
- Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
- Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently.
- Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach.
- Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
- Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable
Bonus Ingredients (The "Staff" Edge)
- Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
- Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.
Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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ML / AI Data Engineer (Contract)
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About us:
Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
This role focuses on building and optimising large-scale video and multimodal data systems, enabling high-throughput ingestion, processing, and model training across distributed cloud environments.
Key Responsibilities
- Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
- Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
- Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
- Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
- Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
- Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
- Translate ML and multimodal research into scalable, production-grade cloud architectures.
- Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
- Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.
- 5+ years of experience in data engineering, ML pipelines, or distributed systems.
- Strong experience building scalable data pipelines for large datasets (video/audio preferred).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Experience working with GPU-based environments and distributed computing.
- Strong programming skills in Python, Scala, or similar languages.
- Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
- Understanding of ML workflows, training pipelines, and inference systems.
- Experience designing fault-tolerant, high-availability systems.
- Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
- Ability to handle high-throughput, large-scale data ingestion and processing.
- Experience with multimodal AI (video, audio, NLP) systems.
- Familiarity with annotation tools and data labeling workflows.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cost optimization strategies for large-scale cloud workloads.
Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR
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Senior Data Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
- Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
- Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
- Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
- Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
- Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
- Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
- Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
- Ensure flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
- Strong proficiency in Terraform is a must-have.
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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Senior Analytics Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
What you'll do
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What we're looking for
- 5+ years experience with data/analytics engineering
- 5+ years of experience with Python and SQL (preferably Snowflake)
- 3+ years of experience with dbt (dbt certification a plus)
- Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
- Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
- Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights
- An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
- Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
- Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow
- Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:
- Growth Platform: Designed to increase supply and retain existing hosts.
- Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
- Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
- Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
- Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.
The Difference You Will Make:
The Community Platform team is building a groundbreaking social platform aimed at delivering a differentiated service to our community. This platform will empower local communities to collaborate, support community leaders, host local and global events, provide improved resources, drive engagement, mobilize the community, and offer direct feedback to Airbnb.
We are seeking a highly skilled and motivated Full Stack engineer who is passionate about making a difference through their work. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.
A Typical Day:
- Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
- Drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch.
- You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
- Provide critical input in team roadmap and technical direction.
Your Expertise:
- 6+ years of full software development experience
- Proficient in at least one major programming language (preferably Java / Kotlin / Scala / Ruby on Rails / Python).
- Passion for delivering products end-to-end: from ideation through planning and scoping to implementation and experimental A/B testing.
- Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
- Passionate about design and building UX products. You bring flexibility to collaboration with design and product partners by presenting tradeoffs and iterating to the ideal solution.
- Outstanding communication and interpersonal skills and detail oriented.
- Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
Ready to apply?
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Sr. Machine Learning Operations Engineer
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.
You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office.
You Will:
Model and Pipeline Automation
- Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices.
- Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models.
- Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models.
Governance & Compliance
- Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.
Performance Monitoring
- Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation.
- Incorporate user feedback for iterative improvements and manage necessary model retraining cycles.
Cross-Functional Collaboration
- Act as the "glue" between Data Scientists (who build models) and Software Engineers (who consume them).
- Partner effectively with software engineers, product managers and business functions to integrate the machine learning solutions across smartsheet.
Architecture and Infrastructure Management
- Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).
- Provide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers.
- Distill complex ML concepts into easy-to-follow technical documentation.
You Have:
- 5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines.
- 7+ years of programming experience in languages used in AI/ML (eg python, scala etc)
- 4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit-learn etc.
- Strong applied data science skills - ability to recognize data patterns, understand how and when to use various machine learning approaches (eg. supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms.
- Proven ability to remain up-to-date with the latest advancements in Generative AI approaches (eg. OpenAI, LangChain, Stable Diffusion APIs).
- Experience developing, documenting, and supporting REST APIs
- A degree in Computer Science, Engineering, or a related field or equivalent practical experience.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
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Principal Data Engineer / Architect - Individual Contributor
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.
You Will:
- Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
- Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
- Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
- Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
- Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
- Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
- Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
- Perform other duties as assigned
You Have:
- Enterprise SaaS software solutions with high availability and scalability
- Solution handling large scale structured and unstructured data from varied data sources
- Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
- Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
- In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
- Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
- AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
- Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
- Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
- Programming languages like Python, SQL, and potentially Java or Scala
- Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
- Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
- Solution Cost Optimisations and design to cost
- Driving engineering excellence initiatives
- Legally eligible to work in India on an ongoing basis
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Staff Software Engineer - Full Stack (Gurugram Based)
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About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know our Team:
The Full Stack Engineering Department builds the Agoda web and app products. We have several teams in front-end focusing on different aspects of our products including accommodations, flights, payments, marketing, post-booking services, and more. Agoda’s marketplace is the world. We build localized and optimized user experiences at scale on every major internet platform. These include our mobile websites, native apps, and desktop sites. We hire people from around the world who have a passion for using technology to create and implement the best user experiences. Our teams work on the full stack and build end-to-end systems including user interfaces, APIs, backend systems, and database systems. Our products are always evolving and under experimentation. We accomplish this by having an amazing degree of automation, CI/CD systems, and use a modularized approach. As we are data driven and measure our results, we continually innovate and improve our work. We are looking for the next great talent who strives to learn and grow and has a standard of excellence, strong sense of ownership, and great technical skills.
The Opportunity:
Staff Engineer is the key role in our technology organization working together with individual contributors and senior leadership. Our Lead engineers are heavily involved in the hiring and mentoring process and are the go-to people who design and implement new systems and components. We are looking for people who are passionate to take on more responsibility and driving major architectural changes in Agoda. It's expected from you in this role as Staff engineer to push Agoda forward technically by adopting new technologies and setting higher standards.
- Lead full-stack architecture and system design for features used by millions of customers across web and cross-platform environments.
- Own complex end-to-end systems: Take responsibility for building, integrating, and maintaining both frontend and backend components, including the critical Backend for Frontend (BFF) layer.
- Mentor and guide high-performing teams: Provide technical leadership, drive engineering excellence, and support the growth of your peers.
- Drive technical decisions: Influence architecture and best practices across multiple squads, ensuring scalable, reliable, and high-quality solutions.
- Collaborate with Product and Design: Work closely with cross-functional partners to deliver cohesive, user-centered features and experiments that directly impact business outcomes.
- 8+ years of experience in software engineering, with a strong record of technical leadership and end-to-end ownership.
- Expertise in Java, Kotlin, .NET, and JavaScript/TypeScript, plus hands-on experience with frameworks such as Node.js and React (or similar TypeScript frameworks).
- Proven experience leading end-to-end architecture on high-traffic, high-availability platforms, ideally with exposure to cross-platform or migration projects (e.g., native to WebView).
- BFF (Backend for Frontend) experience is a must: You have designed, built, or maintained BFF layers (language flexible—C#, Kotlin, Java, etc.) that bridge frontend and backend systems.
- Track record of technical mentorship, cross-team collaboration, and solving ambiguous, complex problems in fast-paced environments.
- Strong API and middleware skills: Ability to design and implement APIs and backend services tailored for frontend needs.
- Experience with Scala or other JVM languages.
- Exposure to cloud platforms, microservices, and modern DevOps practices.
- Prior work on large-scale migration or cross-platform initiatives.
This position is based in Gurgaon, India.
#india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #Mumbai #Delhi #Noida #Gurugram #Gurgaon
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
Staff Software Engineer - Backend-Heavy Full Stack (Gurugram Based)
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About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know our Team:
The Full Stack Engineering Department builds the Agoda web and app products. We have several teams in front-end focusing on different aspects of our products including accommodations, flights, payments, marketing, post-booking services, and more. Agoda’s marketplace is the world. We build localized and optimized user experiences at scale on every major internet platform. These include our mobile websites, native apps, and desktop sites. We hire people from around the world who have a passion for using technology to create and implement the best user experiences. Our teams work on the full stack and build end-to-end systems including user interfaces, APIs, backend systems, and database systems. Our products are always evolving and under experimentation. We accomplish this by having an amazing degree of automation, CI/CD systems, and use a modularized approach. As we are data driven and measure our results, we continually innovate and improve our work. We are looking for the next great talent who strives to learn and grow and has a standard of excellence, strong sense of ownership, and great technical skills.
The Opportunity:
Staff Engineer is the key role in our technology organization working together with individual contributors and senior leadership. Our Lead engineers are heavily involved in the hiring and mentoring process and are the go-to people who design and implement new systems and components. We are looking for people who are passionate to take on more responsibility and driving major architectural changes in Agoda. It's expected from you in this role as Staff engineer to push Agoda forward technically by adopting new technologies and setting higher standards.
- Lead full-stack architecture and system design for features used by millions of customers across web and cross-platform environments.
- Own complex end-to-end systems: Take responsibility for building, integrating, and maintaining both frontend and backend components, including the critical Backend for Frontend (BFF) layer.
- Mentor and guide high-performing teams: Provide technical leadership, drive engineering excellence, and support the growth of your peers.
- Drive technical decisions: Influence architecture and best practices across multiple squads, ensuring scalable, reliable, and high-quality solutions.
- Collaborate with Product and Design: Work closely with cross-functional partners to deliver cohesive, user-centered features and experiments that directly impact business outcomes.
- 8+ years of experience in software engineering, with a strong record of technical leadership and end-to-end ownership.
- Expertise in Java, Kotlin, .NET, and JavaScript/TypeScript, plus hands-on experience with frameworks such as Node.js and React (or similar TypeScript frameworks).
- Proven experience leading end-to-end architecture on high-traffic, high-availability platforms, ideally with exposure to cross-platform or migration projects (e.g., native to WebView).
- BFF (Backend for Frontend) experience is a must: You have designed, built, or maintained BFF layers (language flexible—C#, Kotlin, Java, etc.) that bridge frontend and backend systems.
- Track record of technical mentorship, cross-team collaboration, and solving ambiguous, complex problems in fast-paced environments.
- Strong API and middleware skills: Ability to design and implement APIs and backend services tailored for frontend needs.
- Experience with Scala or other JVM languages.
- Exposure to cloud platforms, microservices, and modern DevOps practices.
- Prior work on large-scale migration or cross-platform initiatives.
This position is based in Gurgaon, India.
#india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #Mumbai #Delhi #Noida #Gurugram #Gurgaon
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
Staff Software Engineer, Data Engineering
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About the Team
Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Own critical data systems that support multiple products/teams
- Develop, implement and enforce best practices for data infrastructure and automation
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
We’re excited about you because…
- 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects
- 6+ years experience working in data platform and data engineering or a similar role
- Proficiency in programming languages such as Python/Kotlin/Scala
- 4+ years of experience in ETL orchestration and workflow management tools like Airflow
- Expert in database fundamentals, SQL, data reliability practices and distributed computing
- 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
- Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
Please see the independent bias audit report covering our use of Covey here.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Analytics Engineer, India
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About the Team
The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.
About the Role
As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.
This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
You’re excited about this opportunity because you will…
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
We’re excited about you because…
- 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
- Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
- Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast fast-paced environment, self-starter, and self-organizer
- Ability to think strategically, analyze, and interpret market and consumer information
Nice to Have
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Software Engineer, Data Engineer II
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About the Team
Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Own critical data systems that support multiple products/teams
- Develop, implement and enforce best practices for data infrastructure and automation
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
We’re excited about you because…
- 3+ years of professional experience
- 3+ years experience working in data platform and data engineering or a similar role
- Proficiency in programming languages such as Python/Kotlin/Scala
- 3+ years of experience in ETL orchestration and workflow management tools like Airflow
- Expert in database fundamentals, SQL, data reliability practices and distributed computing
- 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
- Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
This is a work-from-office / In-Office role based in our Hyderabad, India location.
We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.
Key Responsibilities:
- Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
- Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
- Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
- Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
- Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
- Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
- Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
- Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
- Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
- Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.
Required Skills and Qualifications:
- Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
- Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
- Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
- Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
- DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
- Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
- Version Control: Proficiency with version control tools like Git.
- Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
- Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.
Preferred Skills:
- SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
- Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
- Test Automation: Experience with test automation frameworks and practices.
- Security: Understanding of web application security, data encryption, and secure coding practices.
- Leadership: Previous experience mentoring or leading engineering teams.
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Software Engineer
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Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
What are we looking for?
SentinelOne is seeking a Software Engineer to join the Observo AI team in India, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for developing and maintaining high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers.
We're looking for someone who errs on the side of simplicity, who has a passion for craftsmanship in code, and who believes deeply in the value of testing. You should be the kind of engineer who writes tests even when nobody is watching—because you understand that quality matters. We value engineers who enjoy performance tuning, extracting the last ounce of efficiency from systems, and who are excited about working with databases, distributed systems, and open source technologies.
This role is part of the Observo AI engineering organization and offers the opportunity to work on innovative technology that directly impacts enterprise data management at scale. This is a hybrid role with 3 days in our Bengaluru office.
What Will You Do?
- Develop and maintain scalable data processing pipelines that handle large volumes of telemetry data (logs, metrics, traces)
- Build and enhance ML-driven data routing, filtering, and transformation components to optimize customer data volumes while preserving critical insights
- Implement real-time analytics and monitoring features using modern software engineering practices
- Work with cloud-native microservices and APIs that integrate with major observability platforms (Splunk, Elastic, Datadog, New Relic)
- Contribute to monitoring, alerting, and observability solutions for distributed systems
- Write comprehensive tests for all code changes, ensuring reliability and maintainability
- Participate in code reviews, pair programming, and collaborative development practices
- Collaborate with senior engineers, Product, and DevOps teams to deliver customer-focused solutions
- Conduct performance and scale testing to optimize system efficiency
- Learn and apply emerging technologies in AI/ML, data engineering, and observability
- Contribute to technical documentation and knowledge sharing within the team
What Skills and Knowledge Should You Bring?
- 3+ years of software engineering experience with focus on backend development, distributed systems, or data processing
- Demonstrated commitment to code quality and testing practices throughout your career
- Experience that shows you care about the craft of software engineering
- Strong proficiency in Go, Java, Python, or similar programming languages with understanding of software engineering best practices
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
- Familiarity with data processing frameworks such as Apache Kafka, Apache Spark, or streaming technologies
- Basic understanding of database technologies including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems
- Understanding of data formats and protocols commonly used in enterprise systems (JSON, REST APIs, message queues)
- Experience with version control systems (Git) and CI/CD practices
- Strong belief in testing—you write tests even when you have the freedom to skip them
- Bias toward simplicity and maintainability in software design
- Interest in performance and scale testing; you enjoy tuning systems for maximum efficiency
- Passion for craftsmanship in code quality and attention to detail
- Commitment to continuous learning and improvement
- Good communication skills with ability to collaborate effectively in a team environment
- Experience with or interest in pair programming and extreme programming practices
- Fluency in English with good written and verbal communication skills
- Eagerness to learn from senior engineers and contribute to team success
- Bachelor's degree in Computer Science, Engineering, or related field from a recognized institution
- Exposure to functional programming languages (Haskell, Scala, Elixir, OCaml, F#)
- Exposure to systems programming languages (Rust, C++, C)
- Contributor to open source projects, particularly in databases, distributed systems, or observability
- Experience with machine learning concepts and frameworks (TensorFlow, PyTorch, scikit-learn)
- Knowledge of monitoring and observability tools such as Prometheus, Grafana, or ELK stack
- Personal projects demonstrating passion for databases, distributed systems, or performance optimization
Why Us?
You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry
- Flexible working hours and hybrid/remote work model.
- Flexible Time Off.
- Flexible Paid Sick Days.
- Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws)
- Generous employee stock plan in the form of RSUs (restricted stock units)
- On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
- Gym membership/sports gears by Cultfit.
- Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching.
- Private medical insurance plan for you and your family.
- Life Insurance covered by S1 (for employees)
- Telemedical app consultation (Practo)
- Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
- High-end MacBook or Windows laptop.
- Home-office-setup allowances (one time) and maintenance allowance.
- Internet allowances.
- Provident Fund and Gratuity (as per govt clause)
- NPS contribution (Employee contribution)
- Half yearly bonus program depending on the individual and company performance.
- Above standard referral bonus as per policy.
- Udemy Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
- Sodexo food coupons.
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Ready to apply?
Apply to SentinelOne
Senior Staff Software Engineer ( Machine learning Platform)
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About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Why This Role Matters
This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.
What Makes This Opportunity Unique
This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue. You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models .
Responsibilities
- Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking.
- Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics).
- Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction.
- Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning.
- Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval.
- Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows.
- Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging.
- Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance.
- Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems.
- Evolve the domain graph and entity resolution; build reliable data ingestion pipelines.
- Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage.
- Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost.
- Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity.
- Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls.
- Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed.
- Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices.
Desired Skills & Experience
- 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems).
- Production experience with Python plus one of Java/Scala/Go; microservices and API design.
- MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka).
- Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS.
- Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows.
- Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting.
- Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry.
- Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns.
Preferred Mindset
- Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs.
- Thinks in systems - observability, fallback, access control are core, not afterthoughts.
- Passionate about AI - enjoys enabling real-world LLM and agentic use cases.
- Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation.
- Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience.
- Documentation and teaching: you make complex systems understandable; you uplevel teams.
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
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Senior Data Engineer
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Berkadia Services India Pvt Ltd
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Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We Innovate
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Job title: Department: Location: |
Senior Data Engineer Innovation Technology Bangalore |
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Terms: |
Full Time – Hybrid work model (subject to Berkadia policy changes) Split Shift (3:00pm to 12:00am) |
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Working Hours
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Reports To Philip Valent
The Opportunity
As a member of the Data Pipeline team you’ll be at the center of building our platform that enables us to redefine the Commercial Real Estate industry. We’re building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will be designing and building data projects while securing core data elements.
In this role, individual will be required to work on one or multiple aspects of Innovation verticals with the following key responsibilities –
- Research new technology and share knowledge with team and peers
- Design, implement and release data applications in AWS using big data technologies
- Coordinate development efforts across the organization
- Influence team in development standards and processes
- Teach and mentor peers
- Other duties as assigned
Your Qualification
Education:
- Bachelor’s degree in information technology, Computer Science, Engineering, Information Systems, or a closely related technology field; or equivalent practical experience.
- Preferably Post Graduate degree including MBA/PGDBM
Qualifications:
Qualifications to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the experience required:
- 5+ years of professional experience in data engineering or a closely related field.
- 5 -8 years of hands-on Apache Spark experience (PySpark preferred)
- Proven experience building and maintaining ETL/ELT pipelines using tools/frameworks such as PostgreSQL, Docker, Apache Airflow, AWS Step Functions, or similar.
- 1-2 years of experience building high-performance algorithms in scalable languages such as Scala, Python and R
- Strong expertise in SQL (complex queries, performance tuning, analytical functions).
- Excellent interpersonal, verbal and written communication skills
- Experience mentoring junior engineers and performing code reviews
- Strong logical, analytical, problem solving and reporting skills
- AWS Elastic Map Reduce (EMR) experience
- Experience with modern data warehousing and/or lakehouse architecture.
- Familiarity with CI/CD, Git, and agile development practices.
- Experience managing large scale products with a passion for quality/efficiency.
Perks & Benefits
Berkadia offers the best-in-class benefits to enable an enjoyable work environment for the employees. Key benefits include –
- Leaves: Berkadia offers a comprehensive leave policy that not only helps you to plan holidays and personal milestones, but also covers exigencies such as sickness and bereavement.
- Transportation: Berkadia offers free transportation to every employee, irrespective of their shift timings.
- Medical Insurance: Berkadia has an inclusive medical insurance policy that covers the family members of the employees, including parents.
- Learn while you Earn: Berkadia encourages employees to learn new skills by sponsoring degrees, certifications, training, and workshops.
- Wellness: Berkadia has an extensive wellness program that includes annual health check, eye checkup, dental screening, OPD reimbursement, and Employee Assistance Program.
About us
Berkadia, a joint venture of Berkshire Hathaway and Jefferies Financial Group, is a leader in the commercial real estate industry, offering a robust suite of services to our multifamily and commercial property clients. Powered by deep relationships and industry-changing technology, our people sell, finance, and service commercial real estate, providing support for the entire life cycle of our clients’ assets.
Berkadia is an equal opportunity employer and affords equal opportunity to all applicants and employees for all positions without regard to race, color, religion, gender, national origin, age, disability, or any other status protected under the law. To learn more about Berkadia, please visit https://berkadia.com/
For details about India operations, please visit https://berkadia.com/india/
Why us?
Here At Berkadia, We Believe People Matter.
In fact, our people are the heart and soul of everything we do. That’s why we employ the top CRE professionals in our industry, and make sure we invest in their personal development and training. With a focus on innovation and insights, we set the bar high – and keep it there – so that we provide best-in-class service for our clients.
Our culture, or Berkadia Way as we know it, encourages us to truly see people as people, with unique needs, challenges, and objectives. We take this into consideration when working with each other, engaging our clients, and supporting our communities. Thus, instilling a mindset that fosters our shared commitment to self-accountability helps us see our impact on each other and adjust our efforts accordingly.
While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties and to assign other duties, as necessary.
About Berkadia:
Berkadia, a joint venture of Berkshire Hathaway and Jefferies Financial Group, is an industry leading commercial real estate company providing comprehensive capital solutions and investment sales advisory and research services for multifamily and commercial properties. Berkadia is amongst the largest, highest rated and most respected primary, master and special servicers in the industry.
Berkadia is an equal opportunity employer and affords equal opportunity to all applicants and employees for all positions without regard to race, color, religion, gender, national origin, age, disability or any other status protected under the law.
Our people are our greatest strength and make Berkadia a great place to work, creating an environment of trust, mutual respect, innovation and collaboration. Our culture is driven by our core values: https://www.berkadia.com/about/vision-and-values.
To know more about Berkadia, please visit our website https://www.berkadia.com/aboutus/
Ready to apply?
Apply to Berkadia India
Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you do at Axi!
As the Senior Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi’s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi’s utilisation of our Customer Data Platform to deliver growth strategies that increase the
adoption of Axi’s trading products that will generate new trading clients.
Your EDGE Assignment/You Will
- Build and maintain ETL/ELT pipelines on Azure Databricks using PySpark or Scala to ingest, transform, and deliver data products at scale.
- Ingest data from SQL Server, Cosmos DB, event streams, APIs, and external sources into cloud data lakes and Databricks lakehouses.
- Design and implement data quality checks, validation rules, and monitoring to ensure reliability and early detection of anomalies.
- Optimize Spark jobs for performance and cost, including cluster sizing, partitioning strategies, and caching mechanisms.
- Document data pipelines, lineage, and schemas; maintain data dictionaries and metadata catalogs for consumer discovery and understanding.
- Collaborate with data analysts, scientists, and domain engineers to understand requirements and refine data products.
- Contribute to infrastructure and tooling for data workflows (scheduling, orchestration, monitoring, alerting).
Technical Requirements
- Hands-on experience with Azure Databricks and Apache Spark (PySpark or Scala) for large-scale data processing.
- Strong SQL skills, including complex queries, window functions, CTEs, and query optimization for both transactional and analytical workloads.
- Experience with SQL Server: data warehousing concepts, schema design, indexing, and optimization for analytics.
- Familiarity with Azure data services: Data Lake Storage, Synapse Analytics, Data Factory, or Blob Storage.
- Understanding of ETL/ELT concepts, data modeling, dimensional modeling (fact/dimension tables), and slowly changing dimensions.
- Experience with batch and/or stream processing concepts; familiarity with event-driven architectures.
- Knowledge of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines.
- Basic understanding of relational and NoSQL databases (Cosmos DB exposure is beneficial).
Are you the one?
- 5+ years of experience in data engineering or analytics engineering roles.
- Strong problem-solving and ability to work independently with guidance from senior engineers.
- Good communication skills to translate business requirements into technical data solutions.
- Ability to work in Agile environments and collaborate with global teams across time zones.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- 18 annual leave days per year.
- 12 sick days leave per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health Insurance.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Hiring Manager Exploratory Discussion (30–45 min)
- Coding/Data Round (60–90 min)
- Data Design Round (60 min)
- Cultural Interview (30 minutes)
At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.
Ready to apply?
Apply to Axi
Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you do at Axi!
As the Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi’s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi’s utilisation of our Customer Data Platform to deliver growth strategies that increase the
adoption of Axi’s trading products that will generate new trading clients.
Your EDGE Assignment/You Will
- Build and maintain ETL/ELT pipelines on Azure Databricks using PySpark or Scala to ingest, transform, and deliver data products at scale.
- Ingest data from SQL Server, Cosmos DB, event streams, APIs, and external sources into cloud data lakes and Databricks lakehouses.
- Design and implement data quality checks, validation rules, and monitoring to ensure reliability and early detection of anomalies.
- Optimize Spark jobs for performance and cost, including cluster sizing, partitioning strategies, and caching mechanisms.
- Document data pipelines, lineage, and schemas; maintain data dictionaries and metadata catalogs for consumer discovery and understanding.
- Collaborate with data analysts, scientists, and domain engineers to understand requirements and refine data products.
- Contribute to infrastructure and tooling for data workflows (scheduling, orchestration, monitoring, alerting).
Technical Requirements
- Hands-on experience with Azure Databricks and Apache Spark (PySpark or Scala) for large-scale data processing.
- Strong SQL skills, including complex queries, window functions, CTEs, and query optimization for both transactional and analytical workloads.
- Experience with SQL Server: data warehousing concepts, schema design, indexing, and optimization for analytics.
- Familiarity with Azure data services: Data Lake Storage, Synapse Analytics, Data Factory, or Blob Storage.
- Understanding of ETL/ELT concepts, data modeling, dimensional modeling (fact/dimension tables), and slowly changing dimensions.
- Experience with batch and/or stream processing concepts; familiarity with event-driven architectures.
- Knowledge of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines.
- Basic understanding of relational and NoSQL databases (Cosmos DB exposure is beneficial).
Are you the one?
- 3+ years of experience in data engineering or analytics engineering roles.
- Strong problem-solving and ability to work independently with guidance from senior engineers.
- Good communication skills to translate business requirements into technical data solutions.
- Ability to work in Agile environments and collaborate with global teams across time zones.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- 18 annual leave days per year.
- 12 sick days leave per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health Insurance.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Hiring Manager Exploratory Discussion (30–45 min)
- Coding/Data Round (60–90 min)
- Data Design Round (60 min)
- Cultural Interview (30 minutes)
At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.
Ready to apply?
Apply to Axi
Data Engineer
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Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.
Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:
https://www.youtube.com/watch?v=3PxY6su1Q-Q
https://www.youtube.com/@rhombuspower8558/videos
https://www.youtube.com/watch?v=Iby5WVNfQiI
See the following articles to learn more about what we do:
Rhombus Power India is purposefully transforming the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.
We are looking for people who are driven by a sense of purpose. In this role, you will serve as a Data Engineer to solve our customer’s uniquely complex problems. We expect you to be a systems-level thinker and a real doer. You will excel in this role if you are hungry to make a difference and are intellectually bold. And we sure hope that you smile when you hear our clients say, “If we can dream it, Rhombus can do it.”
Come join our cross-disciplinary and world-class team of technologists who are working hard every day to deliver game-changing solutions to transform national security.
Location
New Delhi, India
Job Description
Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. As a Data Engineer, you’ll perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. You’ll work cross functionally with other departments and utilize your skills at all stages of the analytics pipeline to create results that drive business values and customer success! You’ll be asked to travel to client sites where you’ll engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection.
Responsibilities:
- Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
- Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
- Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
- Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
- Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
- You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
- Communicate project status and results to various levels of leadership.
Qualifications:
- A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project experience.
- Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
- Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
- Experience building and maintaining ETL data pipelines
- Experience with software development life cycle including testing, documenting, delivery and support
- Working knowledge of AWS/cloud technologies
- Experience using query optimization as well as data modeling techniques.
- Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)
Personal Qualities:
- Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
- Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
- We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
- Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.
Ready to apply?
Apply to Rhombus Power, Inc.
Software Engineer - CPD (SME)
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Location : Bangalore
About Team & About Role:
As a Software Engineer — SMB Specialist in the Continuous Product Delivery (CPD) team, you will play a key role in ensuring long-term stability, reliability, and customer delight for Rubrik's SMB (Server Message Block) and Windows file-sharing capabilities. You will be part of a team of engineers and work closely with the Multiple engineering, product, and support organizations.
You will work across Rubrik releases on our data backup & management offering, with deep focus on the SMB subsystem — including Active Directory domain integration, SMB share provisioning, Samba service management, and archival I/O via the SMB protocol. You are expected to develop a strong understanding of our product and engineering architecture, such as our distributed job framework, data lifecycle management, filesystem, metadata store, and the SMB service's containerized multi-domain architecture.Within CPD, you will work closely with the multiple Snappable team at Rubrik. The mission of this team is to develop a highly reliable, secure, scalable, and performant software-defined platform that radically simplifies building, deploying, and managing physical and virtual appliances on-premise and in the cloud.Rubrik CPD - SEs are self-starters, driven, and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge you to do your best work by empowering you to make your own decisions. To do that, we have a very transparent structure that gives people the freedom to exercise judgment, even in critical scenarios. This develops more capable engineers and keeps everyone engaged and happy, ultimately leading to customer delight.
KEY RESPONSIBILITIES
- SMB Subsystem Ownership: Own the end-to-end SMB component — including design, implementation, testing, and maintenance of SMB share management, Active Directory domain integration, and Samba container lifecycle.
- SMB Share Provisioning & Security: Develop and enhance dynamic SMB share creation, access control (valid users, host allow lists, read-only/read-write policies), SMB encryption enforcement, and durable handle support.
- Live Mount & Managed Volume Support: Ensure seamless SMB share lifecycle for Windows backup/restore operations, including automatic share creation during restore windows and cleanup after completion.
- Diagnose and Resolve Complex Issues: Troubleshoot SMB-related problems in complex customer environments
- Code Quality & Collaboration: Develop and maintain code in Scala, Python, and Thrift. Participate in code reviews, ensure adherence to coding standards, and continuously improve software quality.
- Technical Documentation: Write and maintain technical documentation for SMB subsystem architecture, REST/Thrift APIs, and operational runbooks.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to define, design, and ship new features..
- Stay Current: Keep up-to-date with emerging trends in SMB protocol evolution (SMB3.x), Samba releases, Active Directory changes, and Windows file-sharing best practices.
ABOUT YOU
Must Have- BTech/MTech/PhD in Computer Science
- 3-6 years of software development experience on Linux, preferably with exposure to Windows interoperability, file-sharing protocols, or identity management
- Strong expertise in the SMB/CIFS protocol — hands-on experience with SMB2/SMB3, Samba server administration, and Windows file-sharing architecture
- Strong fundamentals in data structures, algorithms, and distributed systems design
- Proficient in Scala or Java, with working knowledge of Python
- Experience with Thrift or similar RPC frameworks (gRPC, Protobuf) for inter-service communication
- Familiarity with REST API design and implementation
- Solid grasp of Linux systems programming, including filesystem semantics, POSIX ACLs, and user/group management
- Excellent troubleshooting, problem-solving, and analytical skills
- Strong communication skills and ability to work in a team environment
- Good to have -
- Active Directory & Kerberos experience — solid understanding of AD domain services, LDAP, Kerberos authentication, and cross-platform identity integration
- Experience with containerized service architectures (Docker) — managing isolated service instances and their lifecycle
- Expertise in debugging and troubleshooting protocol-level issues — including packet captures, authentication failures, and permission conflicts
- Large distributed systems design and development experience is preferred
- Knowledge of Storage, Filesystems, or Data Protection technologies is a plus
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
Linkedin | X (formerly Twitter) | Instagram | Rubrik.com
Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
-
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik 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, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Staff Engineer - Shield
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About the Team & Role
The platform security team is responsible for building secure, scalable infrastructure and platform services that power Rubrik's enterprise data protection solutions. We are seeking talented software engineers who are passionate about cloud security, possess deep technical expertise in securing cloud infrastructure, and stay current with industry-leading security practices for cloud-native architectures.
As a Staff Software Engineer, you will design, develop, and maintain scalable and resilient frameworks and services for all cloud infrastructure supporting Rubrik products. This is an excellent opportunity for engineers who are passionate about cloud platform security and want to make a meaningful impact on how enterprise data protection operates in the cloud. You will get to work on cutting-edge cloud security infrastructure and frameworks that define the future of Rubrik's cloud platform roadmap. Along the way, you'll help solve problems such as:
- How to build extensible, secure frameworks for deploying cloud infrastructure?
- How to implement zero-trust networking principles in Kubernetes and cloud environments?
- How to build secure CI/CD pipelines and infrastructure-as-code with security guardrails?
- How to design secure service mesh architectures for microservices communication?
- How to implement secure secrets management and credential rotation at scale?
- How to build secure container orchestration with runtime security monitoring?
In addition to solving engineering problems like these, you will also collaborate with partner teams such as Product Management, SRE, DevOps, Infrastructure, and other engineering teams. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the cloud infrastructure stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance secure cloud platform solutions.
This is an excellent opportunity for those looking to build a secure cloud infrastructure from the ground up. The problem space is wide (covering the entire Rubrik cloud portfolio) and deep (from performant core infrastructure to secure service architectures), and has an exciting roadmap for the coming years with tangible business impact. You'll work alongside distinguished platform and security engineers who will mentor you as you grow your technical skills and cloud security domain knowledge.
What You'll Do:
Secure Cloud Platform Development:
- Collaborate with product managers, architects, SRE, and cross-functional teams to define security standards for cloud infrastructure, implement the frameworks, and drive the migration.
- Take full ownership of projects from design to implementation, test and deployment of secure cloud infrastructure components
- Write clean, well-tested code in languages like Go, Python, or Scala for cloud infrastructure frameworks.
- Implement security-first cloud platform features following established patterns and best practices
- Collaborate with senior engineers on secure system design and cloud architecture decisions.
- Triage platform security issues and debug/track/resolve them by analyzing the sources of issues and driving the resolution
- Demonstrate ownership and accountability for delivering secure, reliable platform services.
- Identify security vulnerabilities in cloud infrastructure and build solutions to harden platform services
- Create/Update highly effective documentation to enable other developers and platform teams
Cloud Security Architecture & Reviews:
- Review infrastructure-as-code, container configurations, and cloud architecture designs for security concerns
- Ensure secure cloud engineering standards are followed across the organization
- Contribute to cloud security guidelines and documentation for other engineering teams
- Evangelize secure cloud practices across all platform and engineering teams
- Perform threat modeling for cloud services and infrastructure components
Team Collaboration:
- Lead by example and demand high-quality, secure deliverables from others
- Work with Product Management and SRE to understand cloud platform security standards and requirements
- Collaborate with other engineering teams on integrations with secure frameworks for cloud infrastructure.
- Participate in team meetings, planning sessions, and knowledge sharing
- Coach and mentor junior team members for their professional growth in cloud security engineering
Learning & Growth Opportunities:
- Work closely with other staff and distinguished engineers who will mentor your development in cloud security
- Gain hands-on experience with cloud security services, container security, and infrastructure security
- Learn about cloud threat modeling and secure cloud architecture principles
- Participate in cloud security training and knowledge-sharing sessions
- Contribute to a positive, learning-focused team culture
What We're Looking For
Required Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
- 10+ years of software development experience with a focus on cloud platforms and infrastructure
- Strong experience with cloud platforms (AWS, Azure, GCP), including security services and best practices
- Deep understanding of cloud security principles, container security, and infrastructure security
- Proficiency in infrastructure-as-code tools (e.g., Terraform)
- Experience with container orchestration platforms (Kubernetes, Docker) and their security models
- Strong programming skills in at least one language (Go, Python, Java, Rust, or similar)
- Experience with cloud-native security tools and practices (service mesh, zero-trust networking, secrets management)
- Understanding of networking security concepts (VPCs, security groups, network policies, TLS/mTLS)
- Experience with version control systems (Git) and collaborative development
- Passion for cloud security engineering - genuine interest in building secure cloud infrastructure
- Proactive mindset - takes initiative to learn new cloud technologies and solve complex infrastructure problems independently
Preferred Qualifications:
- Experience with service mesh technologies (Istio, Linkerd, Consul Connect)
- Hands-on experience with cloud security services (AWS IAM/KMS/GuardDuty, Azure Key Vault/Defender, GCP IAM/KMS)
- Experience with secure CI/CD pipelines and DevSecOps practices
- Familiarity with compliance frameworks (SOC2, FedRAMP, GDPR) and their cloud implementation
- Experience with monitoring and observability tools for cloud security (Prometheus, Grafana, cloud-native monitoring)
- Knowledge of cryptographic protocols and their implementation in cloud environments
- Experience with infrastructure security scanning and vulnerability management
- Understanding of microservices security patterns and API security
- Experience with cloud cost optimization and resource management
Why Join Us?
Perfect Growth Opportunity in Cloud Security Engineering
- Sharpen your cloud security skills by tackling challenging and real-world problems and collaborating with experienced mentors
- Work on meaningful projects that secure enterprise customers' critical data in the cloud
- Gain exposure to cutting-edge cloud security technologies and industry best practices
- Build a strong foundation for a career in cloud platform or security engineering
- Move your career forward with opportunities to specialize in cloud security and leading platform teams
Technical Learning Opportunities
- Hands-on experience with modern cloud security technologies and frameworks
- Exposure to large-scale distributed cloud systems and multi-cloud platforms
- Opportunity to contribute to open-source cloud security and platform projects
- Access to the latest cloud development tools and security research
What Makes a Great Candidate
- Loves to learn - excited about diving into new cloud technologies and security concepts
- Takes initiative - doesn't wait to be told what to do, asks questions, and seeks out learning opportunities in cloud security
- Thinks systematically - can analyze complex cloud infrastructure problems and think through potential security implications
- Collaborates well - enjoys working with others and learning from teammates across platforms and security domains
- Pays attention to detail - understands that small details matter in cloud security and infrastructure reliability
- Is passionate about cloud security - genuinely interested in building secure cloud infrastructure and protecting customer data
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
Linkedin | X (formerly Twitter) | Instagram | Rubrik.com
Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
-
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik 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, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Principal Engineer -Dev Platform(Developer Experience)
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About the role :
The Principal Engineer role is a highly strategic position, operating at the same level as an Engineering Director. In the Developer Platform organization, you will be responsible for defining and executing the technical strategy for multiple key systems/technical areas that are of significant impact to the company's Software Development Lifecycle (SDLC), developer experience, and core engineering productivity.
The scope and impact of your work will span the interactions among multiple complex systems and engineering organizations, focusing on the end-to-end flow of software delivery, scaling Developer Platforms & Infrastructure, and leveraging AI to revolutionize productivity. You will sit at the center of driving these critical improvements, ensuring the platform scales to meet the company's growth.
Your primary focus will be problem seeking. This involves not only defining plans for ambiguous problems (e.g., "How do we scale our platform 10x while reducing costs?") but also identifying problems crucial for the future of engineering productivity and proposing plans for their resolution, such as the strategic integration of AI/ML into core developer workflows.
What you’ll do
Your responsibilities will encompass technical leadership, strategic delivery and people growth with a focus on cross-functional impact across the Developer Platform and the wider Engineering organization:
- Platform Strategy and AI-Powered Productivity
- Define the long-term technical vision (3+ years) for the Developer Platform, including core infrastructure, CI/CD pipelines, and observability systems, ensuring they are cohesive and sustainable.
- Pioneer the integration of AI/ML not just for engineering tasks but to drive overall company productivity, transforming internal processes and tools.
- Identify and translate a future business opportunity or engineering productivity gap into a solvable, multi-quarter technical problem with a clear roadmap.
- Drive significant improvements in engineering velocity and quality by identifying and solving bottlenecks within the software development process and continually introducing innovation.
- Technical Leadership and Standards
- Apply domain expertise across multiple system domains (e.g., CI/CD, Observability, Cloud Infrastructure, Tooling) to drive future-proof, high-leverage platform solutions.
- Set standards for quality, structure, and operational excellence across all core platform systems.
- Be a Consensus Builder, resolving conflicting priorities and mitigating risks across dependent engineering teams.
- Take end-to-end ownership of complex, cross-cutting projects (10-18 engineers' effort) from inception to operation.
- Engineering Influence & Growth:
- Drive and influence collaboration across the entire Engineering organization, establishing a unified software development vision.
- Act as a company ambassador through significant external contributions (e.g., open-source, publications, standards committees).
- Master the craft of coaching, mentoring Staff Engineers for Principal-level impact, and raising the hiring bar
About You
- Typically 18+ years of industry experience in Software Engineering, with a significant focus on Developer Platforms, Infrastructure, or Core Tools.
- Demonstrated ability to function at a level equivalent to an Engineering Director in terms of strategic impact, scope of influence, and technical ownership.
- A proven track record of identifying, defining, and driving the technical strategy for high-impact initiatives across multiple complex, multi-organizational systems.
- Deep expertise in a general-purpose programming language (e.g., Go, Java, C/C++, Scala, Python) and mastery in applying first principles thinking—actively questioning assumptions to create new knowledge and solutions for core engineering problems.
- Exceptional skills as a Consensus Builder and Cross-Functional Leader, adept at navigating conflicting priorities and influencing stakeholders across various teams to achieve a unified vision.
- Experience in architecting and scaling highly available, fault-tolerant Developer Platforms and Infrastructure.
- A demonstrable understanding of how to strategically leverage AI/ML to improve software development processes and overall company productivity.
- Ability to act as an effective coach and mentor, supporting the growth of engineers up to the Staff level.
- Capable of self-directing, managing time, and advocating for resources for activities that are critical for the company's future engineering velocity and platform stability.
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
Linkedin | X (formerly Twitter) | Instagram | Rubrik.com
Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
-
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik 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, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Senior Software Engineer
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Location : Pune
About Team & About Role:
As a Senior Software Engineer (SSE) in the Continuous Product Development (CPD) team, you will play a key role in leading team(s) towards owning the roadmap, providing long-term stability, and providing delight to our enterprise customers. You will work closely with leadership and multiple stakeholders from other engineering teams, the Product and Support organizations.
You will be working across Rubrik releases on our on-premise data backup & SAAS offering. You are expected to develop a strong understanding of our product and engineering architecture, such as our distributed job framework, data lifecycle management, filesystem, and metadata store.
We are seeking a highly skilled senior engineer to join our team. You will be responsible for developing and maintaining high-performance software applications. You should have strong programming and troubleshooting skills, excellent design skills, and an understanding of distributed systems. You should be able to work independently and as part of a team. Having an understanding of the storage domain will be preferred, but is not necessary.
Rubrik SSEs are self-starters, driven, and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge you to do your best work by empowering you to make your own decisions. To do that, we have a very transparent structure and give people freedom to exercise their judgment, even in critical scenarios. This develops more capable engineers and keeps everyone engaged and happy, ultimately leading to customer delight.
- Design, develop, and maintain high-quality software applications and libraries using C++, Scala, and Go programming languages.
- Troubleshoot complex software problems in a timely and accurate manner.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Write and maintain technical documentation for software systems and applications.
- Participate in code reviews and ensure adherence to coding standards.
- Continuously improve software quality through process improvement initiatives.
- Keep up-to-date with emerging trends in software development.
- B-Tech/M-Tech with 9+ years of experience.
- Strong programming, problem-solving, and troubleshooting skills.
- Language skills: C++ or Scala/Java, or C/Go with understanding of OOP
- Excellent design skills.
- Understanding of distributed systems and multi-threading/concurrency concepts.
- Preferably, have a good understanding of the storage domain.
- Preferably, have a strong background in the object-oriented paradigm.
- Good knowledge of data structures, algorithms, and design patterns.
- Good understanding of networking protocols and security concepts.
- Good knowledge of software development methodologies, tools, and processes.
- Strong communication skills and the ability to work in a team environment.
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
Linkedin | X (formerly Twitter) | Instagram | Rubrik.com
Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
-
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik 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, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Software Engineer - CPD
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Location : Pune
About Team & About Role:
As a Software Engineer(SE) in the Continuous Product Delivery (CPD) team, you will play a key role in providing long term stability and last mile delight to our customers. You will work closely with the core engineering team, product and support org.
You will be working across Rubrik releases on our on-premise data backup & management offering. You are expected to develop a strong understanding of our product and engineering architecture, such as our distributed job framework, data lifecycle management, filesystem and metadata store.
We are seeking a highly skilled C++ developer with some familiarity with Python and/or Scala to join our team. As a C++ Developer, you will be responsible for developing and maintaining high-performance software applications using C++ programming language. You should have strong programming and troubleshooting skills, excellent design skills, and understanding of distributed systems. The successful candidate will preferably have a good understanding of the storage domain and be able to work independently and as part of a team.
Rubrik CPD - SEs are self-starters, driven and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge you to do your best work by empowering you to make your own decisions. To do that, we have a very transparent structure and give people freedom to exercise their judgement, even in critical scenarios. This develops more capable engineers and keeps everyone engaged and happy, ultimately leading to customer delight.
- Design, develop and maintain high-quality software applications and libraries using C++ programming language.
- Develop and maintain code written in Python and/or Scala, where required.
- Troubleshoot complex software problems in a timely and accurate manner.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Write and maintain technical documentation for software systems and applications.
- Participate in code reviews and ensure adherence to coding standards.
- Continuously improve software quality through process improvement initiatives.
- Keep up-to-date with emerging trends in software development.
- 2+ Yrs of experience in Design, Development and Debugging.
- Bachelor's or Master's degree in Computer Science or a related field.
- Familiarity with Python and/or Scala programming language.
- Strong programming and troubleshooting skills.
- Excellent design skills.
- Understanding of distributed systems and multi-threading concepts.
- Preferably, have a good understanding of the storage domain.
- Familiarity with various operating systems such as Windows.
- Good knowledge of data structures, algorithms, and design patterns.
- Good understanding of networking protocols and security concepts.
- Good knowledge of software development methodologies, tools, and processes.
- Excellent troubleshooting, problem-solving, and analytical skills.
- Strong communication skills and ability to work in a team environment.
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
Linkedin | X (formerly Twitter) | Instagram | Rubrik.com
Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
-
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik 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, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Sr. Solutions Architect
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As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems
Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
The impact you will have:
- You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
- You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
- Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
- 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Strong consulting / customer facing experience , working with external clients across a variety of industry markets
- Coding experience in Python, R, Java, Apache Spark™ or Scala
- Experience building distributed data systems
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Available to travel to customers in your region
- Nice to have: Databricks Certification
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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About EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
We are seeking experienced, passionate, and resourceful senior engineers to join our backend teams. As a backend engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services.
This position will be a hybrid role based in our Bengaluru office, with 2 days on-site as part of our expanding site. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location.
WHAT YOU'LL DO
- Design & implement features robust enough for our large scale.
- Drive the implementation of new features—break complex problems down to their bare essentials, translate that complexity into elegant design, and create high-quality, maintainable code.
- Create and maintain test automation to enable continuous integration and development velocity.
- Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.
- Work cross-functionally with other teams (data science, design, product, marketing, analytics).
- Leverage a broad skill set and help us implement and learn new technologies quickly.
- Provide and receive design and implementation evaluations and improve with each iteration.
- Debug production issues across our services infrastructure and multiple levels of our stack.
- Think about distributed systems & services and care passionately about producing high-quality code.
WHAT WE'RE LOOKING FOR
- 4+ years of development experience in Software Engineering
- Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
- Proficient in at least one modern programming language such as C#, Kotlin, Java, Python, Go, and Scala.
- Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.
- Experience with continuous integration and delivery tools.
- Experienced in developing and executing functional and integration tests.
- Excellent written and verbal communication skills.
- Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.
- Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.
- Experience in payments or fintech is a plus
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
Ready to apply?
Apply to EarnIn
About EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
We are looking for experienced, passionate, and resourceful mid-level engineers to join our backend teams. As a backend engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services.
This position will be a hybrid role based in our Bengaluru office, with 2 days on-site as part of our expanding site. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.
WHAT YOU'LL DO
- Design & implement features robust enough for our large scale.
- Drive the implementation of new features—break complex problems down to their bare essentials, translate that complexity into elegant design, and create high-quality, maintainable code.
- Create and maintain test automation to enable continuous integration and development velocity.
- Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.
- Leverage a broad skill set and help us implement and learn new technologies quickly.
- Provide and receive design and implementation evaluations and improve with each iteration.
- Debug production issues across our services infrastructure and multiple levels of our stack.
- Think about distributed systems & services and care passionately about producing high-quality code.
WHAT WE'RE LOOKING FOR
- 3+ years of development experience in Software Engineering
- Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
- Proficient in at least one modern programming language such as C#, Kotlin, Java, Python, Go, and Scala.
- Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.
- Experience with continuous integration and delivery tools.
- Experienced in developing and executing functional and integration tests.
- Excellent written and verbal communication skills.
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) to improve engineering productivity.
- Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.
- Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.
- Experience in payments/fintech is a plus.
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
Ready to apply?
Apply to EarnIn
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Guest & Host team based out of India, operates to ensure high quality supply and merchandising differentiates our brand, by providing tools to be used by 1000+ operations agents for supply vetting and quality moderation. As Airbnb expands beyond the core, it is looking to onboard supply outside of the core stays business which requires enhancing our tools. The operational tasks we face are diverse and rapidly evolving. The current manual processes and lack of optimum tooling capabilities hinder the ability of operation agents to work more efficiently, maintain business continuity, and achieve higher scale.
The Difference You Will Make:
As a Data Engineer on the Guest & Host team, you will play a pivotal role in shaping the systems that onboard and manage the highest quality supply across Airbnb. You’ll build robust data pipelines and platforms that power end-to-end visibility for supply operations, from onboarding and regulatory compliance to AI-assisted vetting and listing quality enforcement. Your work will directly enable operations, product, and ML teams to scale trusted supply globally, ensuring every home, service, and experience meets Airbnb’s standards. Whether it’s surfacing insights to optimize onboarding flows, enabling smarter audit triggers, or supporting nuanced licensing workflows, your contributions will be foundational to helping hosts join Airbnb efficiently and ensuring guests have access to safe, high-quality stays.
As you build and maintain key components of the critical data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.
A Typical Day:
- Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
- Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
- Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
- Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
- Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
- Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues
Your Expertise:
- 6+ years of relevant industry experience
- BE/B.tech in computer science or relevant technical field
- Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
- Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
- Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
- Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
- Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
- Excellent written and verbal communication skills
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.
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Senior Backend Engineer
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Senior Backend Engineer
Location: Noida/Bengaluru (India)
Sumo Logic is a cloud-native SaaS data analytics platform, solving complex observability and security problems. Customers choose our product because it allows them to easily monitor, optimize and secure their applications, systems and infrastructures.
Our microservices architecture hosted on AWS ingests petabytes of data daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data.
Responsibilities
- Develop features using algorithms that work optimally on very large data sets. These features would run on our backend systems that can handle enormous amounts of customer data, operate with high tolerance for errors, and can scale up as needed. These systems are responsible for managing and processing petabytes of data.
- Act as a team lead in the team.
- Write robust & re-usable code.
- Own a small set of microservices, analyze and improve the efficiency, scalability,
reliability and cost for the same. - Act as a primary on-call for owned services, responding to service degradations in a timely manner.
- Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
- Analyze and improve the efficiency, scalability, and reliability of our backend systems.
- Write robust code; demonstrate its robustness through automated tests.
Required Qualifications and Skills
- B.Tech/ M.Tech/ BSc or MSc in Computer Science or a related discipline.
- 7-9 years of industry experience with a proven track record of ownership.
- Object-oriented experience, for example in Java, Scala, Ruby, or C++.
- Experience in building backend services for handling data at large scale.
- Understanding the performance characteristics of commonly used data structures (maps, lists, trees, etc).
- Desire to learn Scala, an up-and-coming JVM language (scala-lang.org).
Desired Qualifications and Skills
- Experience in big data / 24x7 commercial service / planet scale product development.
- Experience in agile software development (test-driven development, iterative and incremental development).
- Experience using Sumo Logic products or other observability products for reliability and security.
- Experience in multi-threaded programming and distributed systems (desirable).
- Experience leading scrum teams planning and day to day execution
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
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At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.
Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.
Job Title: Manager, Software Engineer
Locations: Bangalore
Reports to: VP, AI Engineering
A quick snapshot…
Conga is looking to hire a Manager, Software Engineering to join our extremely talented AI Engineering team. As an Engineering Manager at Conga, you’ll lead a team of software engineers working on our next generation AI Solutions. This team will be responsible for building statistical and machine learning models that support product features across the company. You’ll get to work directly with other Engineering Managers, Architects, Data Scientists, Product Managers, and Directors, all of whom make up the larger team. In this highly collaborative environment, you will have the opportunity to grow as a leader and help mentor others.
This position requires experience leading software engineering initiatives, knowledge of AI/ML solutions, as well as excellent people and time management skills. This role will be reporting to the VP of AI Engineering and will be a key engineering leader inside the Conga AI Pillar. The role requires you to collaborate with other leaders at Conga and guide your team to deliver high quality software solutions in a timely manner. The ideal candidate for this position is passionate about people, process, technology, and delivering customer values.
Conga works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with other Engineering and Product leaders, as well as work closely with other your team members are key components for success in this position.
Why it’s a big deal…
8+ or more years of experience in the Software Engineering industry with a record of increasing responsibility leading software development initiatives, and 3+ years managing teams.
Deep understanding of the Software Development Lifecycle (SDLC) and Machine Learning Lifecycle (MLL).
Lead and drive the strategy, vision and roadmap for building robust, scalable AI/ML foundations and platforms — including but not limited to:
- Feature stores
- Distributed ML model training
- Model versioning and evaluation
- Monitoring, drift detection, and automated retraining pipelines
- Responsible AI, model explainability, and fairness assessments
Experience with productionizing ML models and integrating them into real-time and batch applications. Work closely with data science partners and domain engineering teams to understand AI/ML use cases and build corresponding foundations for personalization, NLP, forecasting, recommendations, and generative AI.
Experience using a popular programming language such as: Python (preferred), Java, C#, Scala, etc.
Solid understanding of modern software development practices including object-oriented programming, concurrency, design patterns, microservices architecture, RESTful API design, and test-driven development.
Experience with software testing concepts and tools: white/black box testing, coverage analysis, mocking, PyTest/xUnit, Selenium, etc.
Hands-on experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and Vertex AI — or equivalent services in AWS and/or Azure.
Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, MLflow, scikit-learn, HuggingFace Transformers, etc.
Strong experience with Infrastructure-as-Code and CI/CD tools used to automate deployment to cloud platforms: Terraform, GitHub Actions, Concourse, Ansible, etc.
Excellent leadership, decision-making, and communication skills, with the ability to translate business needs into engineering outcomes.
Experience with AI product lifecycle management, including experimentation tracking, model governance, and release management.
Experience with Python is ideal; Java/Spring is a strong plus.
Education: Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred
Are you the person we’re looking for?
Provide engineering leadership and mentorship to a team of software engineers.
Be a strong engineering leader responsible for executing the Conga AI roadmap using agile practice.
Experience implementing scalable data and AI/ML solutions in a product-driven technology environment.
Manage, lead, and motivate cross-functional, interdisciplinary teams of software engineers to achieve strategic and tactical business outcomes.
Mentor and grow engineers in your team, fostering a culture of teamwork, accountability, and continuous improvement.
Demonstrated ability to skillfully hire, coach, and performance manage a team of technology professionals.
Partner with others at Conga to ensure engineering tasks are understood, broken down, and implemented to the highest of quality standards.
Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
Encourage skill growth of your team members.
Assist and adhere to enforcement of project deadlines and schedules.
Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
Highly technical, confident at the operational management level and comfortable in an engineering-heavy organization.
Track record of being a strong leader, with the ability to influence across teams and levels.
Work with development teams in an agile context as it relates to software development.
Here’s what will give you an edge…
Provide architectural guidance and technical oversight for AI/ML systems, ensuring solutions are scalable, secure, and production ready.
Drive engineering excellence by championing robust design, peer reviews, and efficient CI/CD practices tailored for AI systems.
Foster strong cross-functional partnerships with Product, Data Science, ML-Ops, and DevOps teams to accelerate delivery and innovation.
Travel Requirement
Limited travel to other company offices upon request
#LI-UB1
Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!
Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.
Don’t meet every requirement for the role?
Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.
Additional Information
Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.
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Staff Software Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are looking for an experienced Staff Software Engineers to join the Veeam Data Cloud (VDC) engineering team. You will be working with a global team to build next-generation data protection services focused on ensuring data resilience for our customers. This is a unique opportunity to work on greenfield projects, building features from the ground up that will be deployed and utilized worldwide
What You'll Do
- Defines and drives technical vision for multiple areas within their team. Leads cross-team deliverables.
- Design and develop highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang
- Participate in technical design discussions, reviewing code, and providing feedback to other engineers. Solves hardest, most ambiguous team wide challenges. Develops frameworks for others to follow.
- Drives team deliverables in a timely and predictable fashion. Sets execution standards across the team. Ensure your code is high-quality, thoroughly tested, and secure
- Facilitates effective collaboration and organizes across the engineering organization, drives discussions toward a resolution or action. Helps others across organization understand their team’s technology.
- Participate in on-call rotation for product operations.
What You'll Bring
- 10+ years of experience in the software development industry
- Demonstrated expertise designing, building, and implementing SaaS or large-scale cloud services on Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
- Expertise with a modern programming language like Go, C#, Java, Scala, or Rust
- Experience with Docker, Kubernetes or other container and orchestration tools
- Experience designing and implementing event-driven architectures
- Expertise in developing, testing, and debugging production-quality, scalable, concurrent systems
- A strong knowledge of computer science fundamentals (data structures and algorithms)
- Passion for code quality, extensibility, coding standards, testing, and automation
Bonus Skills
- Experience in the data protection industry
What You'll Get
- 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical coverage for you and up to four dependents
- Life, accident, and disability insurance with enhanced coverage
- Annual flexible wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and safe cab facility for eligible employees
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Staff Software Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are looking for an experienced Staff Software Engineers to join the Veeam Data Cloud (VDC) engineering team. You will be working with a global team to build next-generation data protection services focused on ensuring data resilience for our customers. This is a unique opportunity to work on greenfield projects, building features from the ground up that will be deployed and utilized worldwide
What You'll Do
- Defines and drives technical vision for multiple areas within their team. Leads cross-team deliverables.
- Design and develop highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang
- Participate in technical design discussions, reviewing code, and providing feedback to other engineers. Solves hardest, most ambiguous team wide challenges. Develops frameworks for others to follow.
- Drives team deliverables in a timely and predictable fashion. Sets execution standards across the team. Ensure your code is high-quality, thoroughly tested, and secure
- Facilitates effective collaboration and organizes across the engineering organization, drives discussions toward a resolution or action. Helps others across organization understand their team’s technology.
- Participate in on-call rotation for product operations.
What You'll Bring
- 10+ years of experience in the software development industry
- Demonstrated expertise designing, building, and implementing SaaS or large-scale cloud services on Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
- Expertise with a modern programming language like Go, C#, Java, Scala, or Rust
- Experience with Docker, Kubernetes or other container and orchestration tools
- Experience designing and implementing event-driven architectures
- Expertise in developing, testing, and debugging production-quality, scalable, concurrent systems
- A strong knowledge of computer science fundamentals (data structures and algorithms)
- Passion for code quality, extensibility, coding standards, testing, and automation
Bonus Skills
- Experience in the data protection industry
What You'll Get
- 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical coverage for you and up to four dependents
- Life, accident, and disability insurance with enhanced coverage
- Annual flexible wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and safe cab facility for eligible employees
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior Staff Software Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.
This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.
What You’ll Do
-
Technical Strategy & Architecture
- Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
- Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
- Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
- Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.
Engineering Execution & Excellence
- Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
- Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
- Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
- Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.
Organizational Leadership & Influence
- Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
- Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
- Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
- Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.
Mentorship & Talent Development
- Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
- Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
- Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.
Operational Ownership
- Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
- Own post-incident reviews and embed learnings into platform improvements and operational runbooks.
What You’ll Bring
- 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
- Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
- Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
- Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
- Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
- Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
- Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
- A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.
Bonus Skills
- Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity.
- Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
- Background in data protection, backup, disaster recovery, or storage infrastructure.
- Experience in platform or infrastructure engineering serving other engineering teams as internal customers.
What You’ll Get
- 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical coverage for you and up to four dependents
- Life, accident, and disability insurance with enhanced coverage
- Annual flexible wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and safe cab facility for eligible employees
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
#LI-KP1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior Staff Software Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.
This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.
What You’ll Do
-
Technical Strategy & Architecture
- Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
- Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
- Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
- Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.
Engineering Execution & Excellence
- Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
- Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
- Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
- Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.
Organizational Leadership & Influence
- Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
- Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
- Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
- Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.
Mentorship & Talent Development
- Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
- Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
- Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.
Operational Ownership
- Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
- Own post-incident reviews and embed learnings into platform improvements and operational runbooks.
What You’ll Bring
- 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
- Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
- Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
- Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
- Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
- Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
- Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
- A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.
Bonus Skills
- Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity.
- Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
- Background in data protection, backup, disaster recovery, or storage infrastructure.
- Experience in platform or infrastructure engineering serving other engineering teams as internal customers.
What You’ll Get
- 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical coverage for you and up to four dependents
- Life, accident, and disability insurance with enhanced coverage
- Annual flexible wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and safe cab facility for eligible employees
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
#LI-KP1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Solutions Architect
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FEQ427R107
As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems
Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
This is a Hybrid role, based in Mumbai.
The impact you will have:
- You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
- You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
- Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
- 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Strong consulting / customer facing experience , working with external clients across a variety of industry markets
- Coding experience in Python, R, Java, Apache Spark™ or Scala
- Experience building distributed data systems
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Available to travel to customers in your region
- Nice to have: Databricks Certification
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Big Data Engineer
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CSQ227R36
As a Sr. Big Data Engineer in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks Platform. You will provide data engineering, data science, and cloud technology projects that require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. You will report to the Manager, Professional Services.
The impact you will have:
- You will work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.
What we look for:
- 8+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role
- 6+ years of experience working on Big Data Architectures independently
- Strong experience working in the Databricks ecosystem
- Comfortable writing code in either Python or Scala.
- Experience working across Cloud Platforms (GCP / AWS / Azure)
- Documentation and white-boarding skills.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Willingness to travel for onsite customer engagements within India.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Specialist Solutions Architect - Builder Team
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FEQ327R142
As a Senior Specialist Solutions Architect – Builder Team, this role designs, builds, maintains, and supports projects that integrate and extend the Databricks platform to accelerate data and AI use cases. The position contributes to the roadmap for specific priority projects, helps evaluate partner solutions, and delivers high-quality, production-ready implementations.
This role also supports the infrastructure used to maintain Databricks Labs, enabling field engineering teams to contribute to tooling efforts more effectively. The ideal candidate brings strong customer empathy, a product mindset, and the ability to translate tooling needs into robust backend systems.
The impact you will have
- Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, with a focus on scalable and reliable backend services and automation.
- Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems.
- Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization.
- Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery.
- Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to clarify requirements, propose technical approaches, and deliver projects
- Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem.
- Own the design and implementation of small to medium-sized projects end to end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives.
- Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams.
What we look for
- Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.
- Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.
- Passion for defensive programming and building highly scalable and reliable software.
- Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls.
- BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks