Site Reliability Engineer 5, Core

Netflix
USA - RemotePosted 10 March 2026

Job Description

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. Location: UCAN Remote Inclusive 10-15% Travel Expectation Description: The Critical Operations and Reliability Engineering team sits at the heart of Netflix’s ability to deliver a high-quality streaming experience to hundreds of millions of members worldwide. We build, operate, and evolve the systems and practices that keep Netflix resilient in the face of failures, traffic spikes, and constant change. We are looking for an experienced Site Reliability Engineer to help us deepen the reliability, observability, and operational excellence of Netflix’s systems across Streaming, Games, Ads, and our large-scale platform. You will partner closely with engineering teams across these vertices to design resilient architectures, build automation, and continuously improve how we learn from incidents. What You’ll Do Design and evolve resilient infrastructure for Netflix Streaming services, ensuring our systems are scalable, fault-tolerant, and operable at a global scale. Design and run opinionated resilience tests at scale that intentionally induce failures in order to validate system behavior, uncover weaknesses, and proactively prove (or disprove) resilience. When things break, you help diagnose the issue, drive fixes, re-validate through repeat testing, and partner with teams to confidently ship changes to production. Partner with engineering and product teams to embed reliability, observability, and security into the full software development lifecycle—from design and readiness reviews through rollout and ongoing operations. Define and measure Service Level Objectives (SLOs) and other reliability metrics that matter to the member experience, using them to guide capacity planning, operational priorities, and tradeoffs between reliability, feature velocity, and cost. Build and improve automated processes for deployment, monitoring, capacity management, and incident response to ensure our operations are fast, reliable, and repeatable. Participate in on-call rotations for critical Streaming services, helping ensure 24/7 availability and a great member experience. Lead and contribute to incident response —from triage and mitigation through follow-ups—focusing on learning, systemic fixes, and avoiding repeat issues. Proactively identify and reduce sources of instability in distributed systems by analyzing how our systems actually fail in production and driving architectural or operational improvements. Champion a culture of reliability across business domains , acting as a force multiplier: creating clear documentation, developing best-practice guides, and building tooling that enables other teams to adopt reliability improvements at scale. What We're Looking For 5 years of experience in an SRE, Production Engineering, or similar role operating business-critical, high-traffic services in production. Strong coding skills in one or more languages such as Python, Go, or Java, with a focus on automating solutions instead of relying on manual operations. Fluency in modern cloud infrastructure : hands-on experience with large-scale environments on AWS/Azure/GCP, along with abstracted compute and platform orchestration systems. Deep understanding of large-scale distributed systems, including common failure modes, performance bottlenecks, and how to design for resilience and graceful degradation. Track record of proactively identifying reliability risks and gaps through metrics, incidents, architecture reviews, or resilience testing—and implementing pragmatic, scalable solutions to mitigate them. Strong observability and performance tuning skills : you can u ... (truncated, view full listing at source)
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