Senior Staff Site Reliability Engineer

servicetitan; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

ServiceTitan is seeking a Senior Site Reliability Engineer to join our Site Reliability & Infrastructure Engineering team. This role focuses on reliability, observability, and automation to keep our cloud-based platform scalable, performant, and cost-efficient.

You will work across Kubernetes, cloud networking, and CI/CD to improve availability and efficiency, while guiding on-call incident response and RCA activities. Experience with AI-assisted tooling is a plus.

Qualifications

• Kubernetes is a must-have with hands-on experience.
• Strong understanding of SRE principles: SLIs, SLOs, error budgets.
• Cloud engineering and networking fundamentals across AWS/GCP/Azure.
• Hands-on observability stack (OpenTelemetry/Prometheus/ Grafana, Datadog).
• CI/CD experience (GitHub Actions, Azure DevOps, GitLab CI).
• Experience building web apps on .NET, Python, or Java at scale.
• Experience handling livesite incidents and RCA, post-mortems.
• Familiarity with AI-assisted tooling for engineering and automation.
• Over 10 years of relevant hands-on experience.

Responsibilities

• Participate in on-call rotation and resolve production issues.
• Design and maintain observability dashboards and alerts based on SLIs/SLOs.
• Operate and improve Kubernetes-based compute platform.
• Collaborate across cloud networking and infrastructure (Azure/AWS).
• Investigate incidents with root-cause analysis and remediation.
• Leverage AI-assisted tools to automate investigations and fixes.
• Define non-functional requirements for new systems (scalability, availability).
• Partner with product teams to review architecture and decisions.
• Build automation to reduce manual operational work.
• Write/runbooks and documentation to share on-call knowledge.

Skills

Kubernetes

SRE principles

Cloud & Networking

Observability

CI/CD

Web apps stack

Distributed systems

AI tools for SRE

On-call incidents

Experience 10+ years

Tools

OpenTelemetry

Prometheus

Grafana

Datadog

Job description

Ready to be a Titan?

We're looking for a Senior 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.
• 10+ years of relevant hands-on experience.

About You

You're someone who enjoys being directly accountable for the reliability of a business-critical, large-scale enterprise system. You're comfortable guiding and making decisions with limited information, and capable of operating within the trade-offs between solving for immediate needs versus bigger-scale solutions. You feel rewarded by developing an operability culture in a quickly growing and changing environment, and you're comfortable owning a wide and diverse set of problem areas.

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.

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.