Senior Manager, Critical Operations & Reliability Engineering

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

Senior Manager of Site Reliability Engineering to lead infrastructure organizations at Netflix, focusing on setting reliability standards and leading the SRE team supporting the streaming architecture. The role involves managing an evolving infrastructure towards a millions-of-agents ecosystem, with AI agents embedded in incident management, capacity planning, and reliability posture. Requires experience in AIOps, anomaly detection, or agentic infrastructure systems, and driving technical adoption across complex organizations.

What you'd actually do

  1. Build and scale a world-class SRE function, defining the operating model for how SREs partner with product and infrastructure teams.
  2. Establish and socialize company-wide standards (SLIs/SLOs, Error Budgets) and publish transparent reliability scorecards to drive engineering accountability.
  3. Standardize chaos engineering, fault injection, and proactive risk modeling (dependency mapping, traffic simulation) across the Netflix stack.
  4. Collaborate with CDN, Playback, and Ads teams to eliminate systemic failures and translate technical reliability data into actionable business risk for executives.

Skills

Required

  • 12+ years in software/infrastructure
  • 5+ years in senior SRE leadership
  • Deep fluency in cloud-native scale (AWS/GCP, Containers, Service Mesh)
  • Modern observability (Metrics, Tracing, Logging)
  • Practical experience building or implementing AIOps, anomaly detection, or agentic infrastructure systems
  • Proven ability to drive technical adoption across complex, decentralized organizations through influence rather than mandate
  • Ability to navigate the "human-machine" boundary of automation and clearly articulate technical trade-offs to non-technical stakeholders

Nice to have

  • Experience in streaming media, ad-tech, or high-scale gaming backends.
  • Hands-on design of LLM-based autonomous agents in production.
  • Familiarity with Netflix’s OSS ecosystem (Spinnaker, Atlas, Mantis) or Chaos Monkey.

What the JD emphasized

  • AI/ML Fluency: Practical experience building or implementing AIOps, anomaly detection, or agentic infrastructure systems.
  • Hands-on design of LLM-based autonomous agents in production.

Other signals

  • AI agents embedded in incident detection, diagnosis, and remediation
  • Leading SRE team supporting streaming architecture
  • Setting reliability standards company-wide
  • Implementing AIOps, anomaly detection, or agentic infrastructure systems