AI-Powered SRE Lead — Kubernetes & Cloud Reliability

ServiceTitan, Inc.; Washington; Hybrid; USD 148,000 - 221,000; Full time

Benefits offered by this job

Flexible time off

Onboarding program

Leadership training

Bonusly recognition

Medical/dental/vision coverage

401k match

Parental leave

Job summary

ServiceTitan, Inc. is seeking a Senior Site Reliability Engineer to own reliability across a cloud-based platform. You will operate a Kubernetes-based compute layer, implement AI-driven agents for automation, and partner with product engineering to ensure scalable, reliable systems.

You will define SLIs/SLOs, build observability dashboards, and enhance CI/CD pipelines while advocating best practices for reliability and performance across the organization.

Qualifications

• Kubernetes is a must-have with hands-on experience.
• Hands-on AI tools and agents experience for diagnosing and automating infrastructure.
• Agentic systems for autonomously monitored and acted-on infrastructure.
• Experience with SRE practices: SLIs, SLOs, and error budgets.
• Cloud engineering and networking fundamentals in AWS/Azure.
• Observability stacks like Prometheus, Grafana, OpenTelemetry, or Datadog.

Responsibilities

• Participate in on-call rotations and diagnose production issues.
• Design and maintain observability dashboards and alerts based on SLIs/SLOs.
• Operate and improve Kubernetes-based compute platforms.
• Collaborate across teams to review architecture for reliability.
• Develop and maintain AI agents to automate repetitive SRE tasks.
• Contribute to CI/CD pipelines and safe shipping of changes.
• Document runbooks and on-call knowledge sharing.
• Define non-functional requirements for new systems.

Skills

Kubernetes

AI-native SRE

Agentic depth

SRE principles

Cloud networking

Observability

CI/CD

GitHub Actions

Python

.NET/ASP.NET

Java

Distributed systems

Troubleshooting

OpenTelemetry

Tools

AWS

Azure

Job description

ServiceTitan, Inc. is seeking a Senior Site Reliability Engineer to own reliability across a cloud-based platform. You will operate a Kubernetes-based compute layer, implement AI-driven agents for automation, and partner with product engineering to ensure scalable, reliable systems.

You will define SLIs/SLOs, build observability dashboards, and enhance CI/CD pipelines while advocating best practices for reliability and performance across the organization.