ServiceTitan—Staff Site Reliability Engineer

Job description

Description: Ready to be a Titan? We're looking for a Staff Site Reliability Engineer to join our Site Reliability & Infrastructure Engineering team. We run entirely on the cloud, and this team owns the reliability and health of the applications running on top of it — designing the signals that tell us when something's wrong, and building the systems that keep ServiceTitan running better, faster, and cheaper as we scale. We make a huge impact on thousands of companies in the U.S. and abroad by enabling them to be more efficient and effective at running their business. Our Site Reliability and Infrastructure Engineering team centralizes the concerns of measurement and guidance so every engineer can improve availability and efficiency in their own area of the ServiceTitan cloud. We have a cultural foundation built on diversity, inclusion, and innovation, and we want you and your ideas to thrive at ServiceTitan. Come join us. What You'll Do - 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. - Leverage AI-assisted engineering tools (Claude Code, GitHub Copilot, MCP-based agents). Build SRE skills to automate investigations, ship fixes across infrastructure and application repositories - Define non-functional requirements — scalability, availability, performance — for new systems as they're designed. - Partner with product engineering teams to review architecture and infrastructure decisions before they ship. - Drive adoption of best practices in reliability and observability across engineering teams. - 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. - Contribute to CI/CD pipelines and help teams ship changes safely and quickly. What You'll Bring - 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, GCP 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). - Experience building web applications on .NET stack, Python (Flask, FastAPI) or Java (Spring) deployed at scale - Foundational experience supporting distributed systems and their common failure modes (retry storms, timeouts, cascading failures) at scale. - Experience handling livesite incidents, troubleshooting skills — comfortable diagnosing issues under pressure with proven ability to raise the bar and improve TTx SLA. - Experience with AI tools (building SRE skills, root cause analysis agents deployed in production systems etc.) is required - 9+ years of relevant hands-on experience. ‌ Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. Use of AI Technology: We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams. At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, sexual orientation, or any other characteristic protected by applicable laws.