Manager, Site Reliability Engineering

What You Will Do

• Lead and grow a team of site reliability engineers.
• Provide guidance, mentorship, and career development.
• Contribute to and mature SRE practices across production services: SLOs, SLIs, error budgets, toil reduction, and blameless post-mortems that turn incidents into lasting improvements.
• Oversee the incident management lifecycle end-to-end including detection, response, resolution, post-incident review, and systemic improvement.
• Design on-call rotations, runbooks, and escalation procedures that balance service reliability with engineer well-being and sustainable work practices.
• Drive measurable reductions in MTTR and MTTD through improved observability, intelligent automation, and predictive monitoring.
• Build automation to eliminate manual operational work including provisioning, deployment, scaling, self-healing, and reporting.
• Implement chaos engineering practices to validate system resilience and surface weaknesses before they cause outages.
• Partner with engineering and product teams to embed reliability requirements into the development lifecycle, from design through deployment.
• Collaborate with the observability team to ensure comprehensive instrumentation, smart alerting, and actionable dashboards across all critical services.
• Measure, report, and advocate for reliability improvements with both technical and executive stakeholders using data to drive investment decisions.

What You Need To Succeed

• Bachelor’s degree in Engineering, or a related field or equivalent experience.
• 7+ years in site reliability engineering, DevOps, or infrastructure engineering, with at least 1 year in people management (or demonstrated tech lead experience with direct influence over team processes and career growth).
• Hands-on experience running production systems on Azure (including proficiency with key services such as AKS, App Services, Service Bus, Event Grid, and Azure Monitor) or comparable cloud platforms.
• Proven track record implementing SRE practices with measurable reliability improvements and familiarity with modern observability platforms (Datadog, Prometheus/Grafana, or equivalent).
• AI-enhanced observability experience is preferred.
• Experience leading incident response for high-severity production issues and running effective post-mortems.
• Strong background in automation, infrastructure as code (Terraform, Bicep, or similar), and systematically eliminating manual operational work.
• Experience with Kubernetes container orchestration with production-grade operational experience.
• Experience with AI coding assistants and CI/CD systems (GitHub Actions, Azure DevOps, ArgoCD) with automation capabilities is preferred.
• Knowledge of distributed systems patterns is preferred.
• Exposure to AIOps platforms or using LLMs for operational automation is preferred.
• Data-driven approach. You use metrics and telemetry to guide decisions, not gut feel.
• Collaborative cross-functionally and build trust and alignment naturally.