Software Engineer (L5) - Experimentation Platform

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Not verified last checked Jun 13, 2026

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Software Engineer (L5) - Experimentation Platform USA - Remote 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. At Netflix, our mission is to entertain the world, and experimentation is how we learn, innovate, and continuously improve the product for hundreds of millions of members. The Experience Foundation team in Experimentation Platform builds and operates the core systems that power A/B test allocation, adaptive experimentation, and feature rollouts across Netflix. Our services are on the critical path for product experiences on every device, and must be highly available, low latency, and resilient. We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of experimentation and feature flag infrastructure at Netflix. What You'll Do Build and evolve critical experimentation and feature flag services Design and implement high-scale, low-latency services for experiment allocation and feature flag evaluation Advance core distributed systems for decentralized allocation, rules evaluation, and real-time decisioning 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

Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.