Staff Site Reliability Engineer

Responsibilities

• Own service-level objectives, error budgets, and production reliability outcomes end to end.
• Represent reliability in architecture and scaling decisions.
• Engineer observability: design and operate the observability stack so production services are fully instrumented and define the standards platform and application teams follow.
• Govern SLOs and error budgets: define and manage service-level objectives, run regular reviews with service owners, and drive corrective action when services consume error budgets unsafely.
• Drive resilience: design and execute chaos experiments and validate that failure modes are covered by tested safeguards.
• Lead incident response: define the incident process and serve as incident commander for the highest-severity incidents, including security incidents within the coverage window.
• Run on-call and escalation: establish and manage rotations and escalation paths that provide continuous coverage with clean follow-the-sun handoffs.
• Disaster recovery: own disaster-recovery testing and failover validation against defined recovery objectives and turn exercise findings into architectural and operational improvements.
• Cloud security posture: co-own cloud security posture management, runtime vulnerability detection, and configuration-compliance monitoring with DevSecOps.
• Data, streaming, and AI Ops: own reliability of stateful and streaming services, capacity planning and rightsizing, and autonomous agents for triage, predictive alerting, remediation, and self-healing.
• Scale the team and broaden impact: mentor engineers at different seniority levels, set standards adopted across teams, and align Architecture, DevSecOps, Cloud Operations, and Product Development behind a shared reliability roadmap.

Requirements

• 7+ years of production engineering experience with recent hands-on reliability work.
• Hands-on, recent experience operating large-scale, fault-tolerant production systems on AWS or GCP.
• Observability ownership: have instrumented production systems and governed service-level objectives and error budgets, not only installed dashboards.
• Resilience practice: have designed and executed failure experiments or disaster-recovery exercises with real failover validation.
• Incident command: have personally commanded serious SEV1/SEV2 incidents and driven root cause through to a systemic fix.
• Demonstrated ownership of reliability outcomes with measurable results, such as availability, mean time to recovery, and error-budget adherence.
• Evidence of multi-team technical leadership through standards, review, coaching, and mechanisms adopted beyond one service or team.

Preferred Qualifications

• Proven production experience with cloud security posture management, runtime vulnerability detection, and workload protection across cloud and distributed environments.
• Strong experience prioritizing risk using identity, workload, and exposure-path context to focus remediation on issues that materially increase attack likelihood and operational impact.
• Experience with autonomous remediation and self-healing workflows powered by AIOps, including Amazon Bedrock Agent Core or equivalent agentic automation frameworks.
• Hands-on experience in capacity management, resource rightsizing, efficiency engineering, and practical cost optimization based on FinOps principles.
• Experience with load-balancing design and operations, including health-based failover, global traffic management, and performance optimization for highly available services.
• Experience with AI traffic management via an LLM gateway, including request routing, policy enforcement, rate limiting, model fallback, latency optimization, cost controls, and observability for multi-model or multi-provider environments.
• Ability to connect networking, security, and reliability considerations into cohesive platform design decisions that improve resilience, performance, and operability.