Senior Site Reliability Engineer, CORE (Member Experience / Resilience Operations)

Netflix is a leading entertainment company that is dedicated to pushing the boundaries of storytelling and technology. They are seeking a Senior Site Reliability Engineer to enhance the reliability and operational excellence of their streaming services, ensuring a seamless experience for their members. The role involves collaborating with engineering teams, designing resilient infrastructure, and implementing reliability metrics to support Netflix's high-quality service delivery.

Responsibilities:

• Design and evolve resilient infrastructure for Netflix member-facing services, ensuring our systems are scalable, fault-tolerant, and operable at a global scale
• Take a data-driven approach to reliability to identify and address systemic risk
• Partner with engineering and product teams to embed reliability and observability 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

Requirements:

• 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 use metrics, logs, and traces to debug issues in complex systems, and you're comfortable profiling and optimizing services to meet latency, availability, or efficiency goals
• Experience with incident management and response: you can navigate ambiguous, high-pressure production issues, drive coordinated response, and follow through with durable improvements
• Strong collaboration and influence skills: you communicate clearly, build trust with partner teams, and can guide engineering teams toward better reliability practices without relying on authority
• Ability to balance reliability, velocity, and cost: you're comfortable making and explaining tradeoffs, and using data (SLOs, error budgets, performance metrics) to guide decision-making
• Growth mindset and curiosity: you are eager to learn, comfortable challenging assumptions (including your own), and motivated by continuous improvement of systems, processes, and yourself
• Embraces agency: you thrive when given a loosely defined goal by coming up with work to accomplish the goal while farming for dissent and feedback from the team and our stakeholders