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.
Job is open for no less than 7 days and will be removed when the position is filled.
