Software Engineer (L5) - Experimentation Platform

Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking a Senior Distributed Systems Engineer to design and operate their next generation experimentation and feature flag infrastructure, ensuring high availability and performance across their services. Responsibilities: 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 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 and rollout workflows across Netflix; Simplify and improve the developer experience for configuring, launching, and monitoring experiments and feature flags Qualifications: You've built and operated scalable, reliable backend services and understand how to apply core algorithms, and systems design to real-world distributed systems; You write high-quality code in Java or another JVM language and have owned production services end-to-end: monitoring, on-call, debugging, and systematic performance and reliability improvements; You work effectively with other senior engineers and cross-functional partners, bring clarity to ambiguity, drive decisions, and keep a sharp focus on delivering value to internal users and stakeholders Required Skills: Distributed Systems, Backend Development, Java, JVM Languages, Scalable Service Design, Low-latency Systems, Reliability Engineering, Performance Tuning, Observability logs, Observability traces, Incident Response, Data Integration, API Design, Product Sense, Observability metrics