Senior Site Reliability Engineer

Job summary

Own and mature reliability, resilience, and operational health across a cloud-native product ecosystem, building both the SRE practice and its technical systems. Responsibilities include observability, service level objectives and error budgets, incident command, production remediation, capacity planning, and AI-powered workflows such as triage agents and automated incident analysis. The primary environment is Microsoft Azure and Azure Kubernetes Service (AKS).

Qualifications

• At least 5 years in Site Reliability Engineering, Production Operations, Cloud Engineering, or DevOps, including 3 years owning production reliability outcomes.
• Experience defining service level indicators, objectives, and error budgets for distributed systems.
• Experience leading severity-one production incidents as Incident Commander or equivalent.
• Strong root cause analysis and blameless postmortem experience, including driving remediation to completion.
• Hands-on production experience with Microsoft Azure and Azure Kubernetes Service (AKS).
• Hands-on observability experience with Grafana, Prometheus, Elasticsearch, and APM tooling.
• Experience with OpsGenie, PagerDuty, or comparable incident management platforms, including on-call rotations and escalation policies.
• Strong scripting ability in Python, Bash, or PowerShell.
• Experience with capacity planning, forecasting, and performance tuning.
• Hands-on experience applying AI to operational engineering, including explaining its inputs, decisions, and guardrails.
• Familiarity with agent frameworks and integrating AI into monitoring, incident, or CI/CD workflows.
• Ability to influence engineering teams and persuade product stakeholders to prioritize reliability.
• Experience designing operational processes and producing reliability KPI reports.
• Preferred experience building or maturing an SRE practice, chaos engineering, resilience testing, regulated or safety-critical environments, or sovereign and government cloud environments.

Responsibilities

• Build and improve observability across metrics, logs, traces, alerts, and dashboards.
• Define and own service level indicators, objectives, and error budgets with product and engineering stakeholders.
• Establish error budget policies and accountability.
• Lead critical incident response, including coordination, stakeholder communication, and mitigation.
• Conduct root cause analysis and facilitate blameless post-incident reviews.
• Track remediation actions through production and report completion rates.
• Coordinate L3 engineer schedules, escalation paths, and incident management tooling.
• Lead SRE maturity initiatives, reliability scoring, and engineering enablement.
• Own capacity planning, forecasting, and reliability reporting.
• Build and operate AI agents for triage, diagnostics, and guarded remediation.
• Apply AI to incident response, postmortems, operational automation, and reporting.
• Define governance, human review checkpoints, and auditability for AI-driven operations.

Skills

Work schedule

Industry

Relocation