Senior Site Reliability Engineer 5, CORE (Resilience Operations)

Role Overview

The Critical Operations and Reliability Engineering team at Netflix is looking for a Senior Site Reliability Engineer to strengthen reliability, observability, and operational excellence across Netflix’s large-scale platform, including Streaming, Games, and Ads. You will partner with engineering teams to design resilient architectures, build automation, and improve how the organization learns from incidents.

Location/Work Model: UCAN Remote; 10–15% travel

Responsibilities

• Design and evolve resilient infrastructure for Netflix Streaming services at global scale (scalable, fault-tolerant, operable).
• Run resilience tests at scale by intentionally inducing failures to validate behavior and uncover weaknesses.
• Lead incident support: when failures occur, diagnose, drive fixes, and re-validate via repeat testing; partner to safely ship production changes.
• Embed reliability, observability, and security throughout the software development lifecycle (design/readiness reviews, rollout, and operations).
• Define and track Service Level Objectives (SLOs) and reliability metrics to guide capacity planning, operational priorities, and tradeoffs.
• Build/improve automation for deployment, monitoring, capacity management, and incident response.
• Participate in on-call rotations to support 24/7 availability for critical Streaming services.
• Own incident follow-ups: triage → mitigation → systemic fixes and prevent repeat issues.
• Proactively identify and reduce instability in distributed systems by analyzing real production failures and driving architectural/operational improvements.
• Promote a reliability culture via documentation, best-practice guides, and tooling that helps other teams adopt improvements.

Requirements

• 5+ years in SRE, Production Engineering, or a similar role operating business-critical, high-traffic services in production.
• Strong coding skills in Python, Go, or Java, focused on automating operations.
• Hands-on cloud infrastructure experience with AWS/Azure/GCP, including large-scale environments and platform orchestration/compute abstraction.
• Deep knowledge of large-scale distributed systems, including failure modes, performance bottlenecks, resilience, and graceful degradation.
• Proven ability to identify reliability risks using metrics, incidents, architecture reviews, or resilience testing, then implement scalable fixes.
• Strong observability and performance tuning using metrics, logs, and (implied) tracing.

Nice-to-haves

• Experience spanning multiple Netflix domains (e.g., Streaming plus other vertices like Games/Ads) and influencing reliability across them.