Senior Site Reliability Engineer, Core (member Experience / Resilience Operations)

Netflix Netflix · Big Tech · United States · Remote · Engineering

Senior Site Reliability Engineer focused on ensuring the reliability, observability, and operational excellence of Netflix's member-facing services. This role involves designing resilient infrastructure, defining and measuring SLOs, building automation for deployment and incident response, and championing a culture of reliability across engineering teams.

What you'd actually do

  1. Design and evolve resilient infrastructure for Netflix member-facing services, ensuring our systems are scalable, fault-tolerant, and operable at a global scale.
  2. Take a data-driven approach to reliability to identify and address systemic risk
  3. 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.
  4. 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.
  5. Build and improve automated processes for deployment, monitoring, capacity management, and incident response to ensure our operations are fast, reliable, and repeatable.

Skills

Required

  • 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.

Nice to have

  • 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

What the JD emphasized

  • business-critical, high-traffic services
  • large-scale environments
  • large-scale distributed systems
  • proactively identifying reliability risks and gaps
  • ambiguous, high-pressure production issues
  • operate at Netflix scale