At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. About the team Our Research Data Products team is at the forefront of insights innovation. Our team leverages technical expertise in data science, engineering, and solutions development to support a high-impact team of 90+ quantitative and qualitative researchers across the globe. We enable cutting-edge research through frameworks, data products and technologies designed to help answer Netflix’s most complex business challenges through consumer-driven analytics. About the Role As a Software Engineer, you will help mature and expand our Research platforms, data products and frameworks. You will flex both Software and Data Engineering skills, while building context of existing systems and deciding whether to extend, build or buy new solutions. You will combine knowledge of principles, architecture, design patterns, storage, and processing frameworks to build scalable, performant and maintainable (either by self or others) systems. Your work will help pave the paths for these data products in partnership with an interdisciplinary team of engineers, data scientists, and researchers. What You will Do: - Solve business needs at scale by applying your software engineering and analytical problem-solving skills - Design and building robust, scalable, and highly available distributed infrastructure - Lead cross-functional initiatives and collaborating with engineers, product managers, and technical program managers across teams - Sharing experiences with open source communities and contributing to Netflix OSS - Develop integrations with data SaaS platforms and first party infrastructure. - Support integrations with Research, A/B testing and experimentation systems for sampling and allocation protocols - Develop libraries and SDKs to extend core functionality to new systems - Enable Data Scientists by developing scalable methods, utilities and applications - Partner with other Data Engineers & Software Engineers to make data available for self-service and wider integration. What we are looking for: We are looking for a skilled, independent, and curious Software Engineer who champions scalable solutions engineering for analytic applications. - Proficiency in SQL, Python, or Spark for querying and analyzing large datasets. - Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure). - Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data). - Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. - You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant). - You possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data products. - You understand how ML systems consume data—features, inference inputs, labels, and reward signals - You can craft scalable systems and solutions to realize a range of product and engineering goals. - You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution. - You own what you build, beyond just your code and have a passion for quality. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

• Analyzes, designs, programs, debugs, and modifies applications using .Net/C#, Java, Python, SQL, Angular or other relevant software programming languages • Participates in software design meetings and analyzes user needs to determine technical requirements • Writes technical specifications based on conceptual design and stated business requirements • Works closely with Product Owners, Product Managers, Business Analysts and QA to ensure successful delivery of desired solutions • Participates in code reviews and contributes to team knowledge sharing • Writes clean, scalable and efficient code • Assists in the integration of data storage solutions • Completes technical requests/issues as required • Participate in other standard tasks including release management, interviewing, etc. • Lead two or more projects/tasks independently

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Analysis team in Experimentation Platform builds and operates the core systems that power A/B test analysis across Netflix. Our tools enable confidence in business decisions that affect our members. We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of analysis tooling at Netflix. What You’ll Do - Build and evolve critical experiment analysis tooling - Build, maintain, and improve real-time and batch analysis workflows for experiment analysis, regression detection, and more - Own reliability and performance - Participate in on-call, lead incident response, and drive long-term reliability improvements - Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability - Shape data and integration surfaces - Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable - Define clear data and API contracts for consumers and pipelines - Partner with product engineering teams - Deeply understand experimentation workflows across Netflix - Simplify and improve the experience for monitoring and deciding experiments What Sets You Apart - Strong understanding of experimentation lifecycle and risks You’ve done it before: run or facilitated experiments with large business implications, understanding the risks and rewards of experimentation at scale. A background in data science/statistics is a big plus. - Backend & distributed systems depth You’ve built and operated reliable and observable backend workflows and understand how to apply core algorithms, and systems design to real-world distributed systems. - Strong coding & operational rigor You write high-quality code and systems, and have owned production services end-to-end: monitoring, on-call, debugging, and systematic performance and reliability improvements. - High-impact collaboration & product sense You work effectively with other engineers and cross-functional partners, bring clarity to ambiguity, drive decisions, and keep a sharp focus on delivering value to internal users and stakeholders. Why This Role Is Unique - Central to how Netflix learns: Your work underpins how nearly every product team experiments and rolls out features. - High leverage & visibility: You will build foundational services used by engineers, data scientists, and product partners across the company. - Challenging engineering problems: Our analysis workflows process billions of events per day - and the speed of processing these events directly affects business outcomes. - Real ownership: You will influence architecture and roadmap while working with a senior and highly engaged team. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

• Build and ship production systems that power real-world healthcare workflows • Design and build software that works in complex healthcare environments • Integrate systems and extend workflows • Directly work with customers to understand their operations • Translate customer workflows into production-grade systems • Identify patterns across customers and feed them back into the core product