Senior Site Reliability Engineer

ServiceTitan is seeking a Senior Site Reliability Engineer to join its Site Reliability & Infrastructure Engineering team. The role focuses on maintaining the reliability, observability, scalability, and efficiency of cloud-based applications and infrastructure through incident response, automation, Kubernetes operations, and collaboration with engineering teams.

Responsibilities:

• Participate in an on-call rotation, using runbooks and playbooks to diagnose and resolve production issues (e.g., adjusting Horizontal Pod Autoscaler rules in response to load)
• Design, build, and maintain observability dashboards and alerting grounded in Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
• Operate and improve our Kubernetes-based compute platform, which runs the large majority of our infrastructure
• Work across cloud networking and infrastructure (Azure/AWS) to support reliable, scalable systems
• Investigate and resolve production incidents, including root-cause analysis and follow-up remediation work
• Partner with product engineering teams to review architecture and infrastructure decisions before they ship
• Build and maintain automation that reduces manual, repetitive operational work across the team
• Write and maintain runbooks and documentation so on-call knowledge is shared across the team, not siloed with one person
• Help define non-functional requirements — scalability, availability, performance — for new systems as they're designed
• Collaborate across engineering teams to adopt best practices in reliability and observability
• Contribute to CI/CD pipelines and help teams ship changes safely and quickly

Requirements:

• Kubernetes (must-have): strong, hands-on understanding of Kubernetes as a system
• SRE principles: practical experience with SLIs, SLOs, and error budgets — able to speak to how you've defined and monitored these on real systems, not just definitions
• Cloud engineering & networking: solid grounding in AWS or Azure, including networking fundamentals (subnetting, IP addressing)
• Observability: deep experience with at least one modern observability stack (OpenTelemetry, Prometheus, Grafana, Datadog, or Elasticsearch) and the ability to translate that understanding across tools
• CI/CD: strong understanding of a CI/CD system — GitHub Actions preferred, but TeamCity, Azure DevOps, or GitLab CI experience is acceptable
• Strong programming skills with the ability to build web applications — ideally with solid working knowledge of .NET and ASP.NET. We're also open to strong Python (Flask, FastAPI) or Java (Spring) backgrounds
• Experience with distributed systems and their common failure modes (retries, timeouts, cascading failures)
• Strong production troubleshooting skills — comfortable diagnosing issues under pressure
• 8-10+ years of relevant hands-on experience
• Nice-to-have: database experience (not mandatory — databases are monitored by the same team, not owned individually)