Senior Site Reliability Engineer

ServiceTitan•US WA Remote, WA

2d•$137,900 - $221,400

About The Position

ServiceTitan is hiring a Senior Site Reliability Engineer for its Site Reliability & Infrastructure Engineering team. The team owns the reliability and health of cloud-based applications and develops measurement and guidance systems that help engineering teams improve availability and efficiency as the company scales. The role focuses on operating and improving a Kubernetes-based compute platform, cloud infrastructure and networking, observability, production reliability, and AI-driven automation for SRE work. The engineer partners with product engineering teams on architecture and infrastructure decisions, helps define non-functional requirements, and promotes reliability and observability practices across engineering. The position includes participation in an on-call rotation and accountability for the reliability of large-scale, business-critical enterprise systems. The role calls for strong hands-on Kubernetes experience; practical SRE experience with SLIs, SLOs, and error budgets; cloud engineering and networking knowledge in AWS or Azure; and deep experience with a modern observability stack. Candidates should have hands-on experience building or operating AI agents that address infrastructure and reliability work, along with strong programming, CI/CD, distributed-systems, and production-troubleshooting skills. Relevant experience should total 8–10+ years. The company describes its culture as built on diversity, inclusion, and innovation. Benefits include flexible time off, learning and development opportunities, medical, dental, and vision coverage, FSA and HSA, a 401(k) match, telehealth options, parental support, fertility services, adoption reimbursement, pet insurance, legal advisory services, and financial planning tools. U.S. base salary ranges are $147,600–$221,400 for Zone 1 locations and $137,900–$206,900 for Zone 2 locations. The package also includes an annual bonus and equity.

Requirements

Strong, hands-on understanding of Kubernetes as a system.
Personal, hands-on experience using AI tools and agents to diagnose, automate, and resolve infrastructure and reliability work.
Experience building or operating agents that autonomously monitor infrastructure and take action, such as scaling, remediating, or escalating.
Practical experience defining and monitoring SLIs, SLOs, and error budgets on real systems.
Solid grounding in AWS or Azure and networking fundamentals, including subnetting and IP addressing.
Deep experience with at least one modern observability stack, such as OpenTelemetry, Prometheus, Grafana, Datadog, or Elasticsearch, and ability to transfer that knowledge across tools.
Strong understanding of a CI/CD system; GitHub Actions is preferred, with TeamCity, Azure DevOps, or GitLab CI also acceptable.
Strong programming skills and ability to build web applications; .NET and ASP.NET are ideal, with Python (Flask or FastAPI) or Java (Spring) also accepted.
Experience with distributed systems and common failure modes, including retries, timeouts, and cascading failures.
Strong production troubleshooting skills and comfort diagnosing issues under pressure.
8–10+ years of relevant hands-on experience.
Comfort making decisions with limited information and balancing immediate needs against larger-scale solutions.
Enjoyment of developing an operability culture in a rapidly growing and changing environment, and willingness to own a wide range of problem areas.

Nice To Haves

Ability to discuss agent implementation and operation in concrete terms, including the MCP protocol, agent harnesses, and different agent-design strategies.
Understanding of agent context management, including progressive-disclosure strategies for surfacing relevant information without overloading context.
Ability to explain how to secure agent actions through scoped authorization, guardrails, and available AI infrastructure controls.

Responsibilities

Participate in an on-call rotation and use runbooks and playbooks to diagnose and resolve production issues.
Design, build, and maintain observability dashboards and alerting based on SLIs and SLOs.
Operate and improve the Kubernetes-based compute platform.
Work across cloud networking and infrastructure in Azure or AWS to support reliable, scalable systems.
Investigate and resolve production incidents, perform root-cause analysis, and complete follow-up remediation.
Build and operate AI agents and automation that directly handle manual, repetitive SRE work.
Partner with product engineering teams to review architecture and infrastructure decisions before release.
Write and maintain runbooks and documentation to share on-call knowledge across the team.
Help define scalability, availability, and performance requirements for new systems.
Collaborate across engineering teams to promote reliability and observability best practices.
Contribute to CI/CD pipelines and help teams ship changes safely and quickly.

Benefits

Flexible time off.
Learning and development opportunities, including onboarding, leadership training, programs, and events.
Recognition programs, including Bonusly and peer-nominated awards.
Company-paid medical, dental, and vision coverage, with 100% employer-paid options and 90% dependent coverage.
FSA and HSA.
401(k) match.
Telehealth options, including One Medical memberships.
Parental leave and support.
Up to $20,000 in fertility services, including IUI and IVF.
Surrogacy and adoption reimbursement.
Maternity support through Maven Maternity.
Breast milk shipping through Maven Milk.
Pet insurance.
Legal advisory services.
Financial planning tools.
Annual bonus.
Equity.