Senior Manager - Reliability Engineering (Member Experience)

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.

We are looking for a Senior Manager of Site Reliability Engineering to lead one of the most consequential infrastructure organizations at Netflix. This role owns two intersecting mandates: setting the reliability standards that the entire engineering organization builds to, and leading the SRE team supporting our streaming architecture.

Netflix’s infrastructure is undergoing a fundamental shift. Infrastructure is quickly evolving towards a millions-of-agents ecosystem, with AI agents increasingly embedded in how we detect, diagnose, and remediate incidents; how we plan capacity; and how we evolve our reliability posture over time.

• Strategic Leadership: Build and scale a world-class SRE function, defining the operating model for how SREs partner with product and infrastructure teams.

• Reliability Governance: Establish and socialize company-wide standards (SLIs/SLOs, Error Budgets) and publish transparent reliability scorecards to drive engineering accountability.

• Cross-Functional Partnership: Collaborate with CDN, Playback, and Ads teams to eliminate systemic failures and translate technical reliability data into actionable business risk for executives.

• Experience : 12+ years in software/infrastructure, with 5+ years in senior SRE leadership.

• Technical Mastery : Deep fluency in cloud-native scale (AWS/GCP, Containers, Service Mesh) and modern observability (Metrics, Tracing, Logging). Experience with streaming media infrastructure would be a plus.

• Organizational Influence : Proven ability to drive technical adoption across complex, decentralized organizations through influence rather than mandate.

• Communication : Ability to navigate the "human-machine" boundary of automation and clearly articulate technical trade-offs to non-technical stakeholders.

• 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.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.

The range for this role is $548,000.00 - $899,000.00. This compensation range will vary based on location.

Job is open for no less than 7 days and will be removed when the position is filled.