What You'll Bring
- Kubernetes (must-have): deep, expert-level understanding of Kubernetes as a system — not just operations, but internals, failure modes, capacity planning, and large-scale cluster management.
- SRE principles: proven experience defining and operationalizing SLIs, SLOs, and error budgets across an engineering organization — able to speak to how you drove adoption, not just how you implemented them on your own team.
- Observability at scale: deep expertise with a modern observability stack (OpenTelemetry, Prometheus, Grafana, Datadog, or Elasticsearch) and the ability to design observability frameworks that work org-wide, not just per-service.
- Cloud engineering & networking: expert grounding in AWS, GCP, or Azure — including networking fundamentals, security, and cost optimization at scale.
- Distributed systems depth: able to reason through complex failure modes (retry storms, cascading failures, thundering herds, timeout propagation) and architect systems that degrade gracefully under pressure.
- Incident management: track record of leading major incident response, driving blameless postmortems, and implementing systemic fixes — not just resolving individual incidents.
- CI/CD and delivery safety: deep experience with CI/CD systems, progressive delivery, and the ability to improve pipeline reliability and safety at org scale.
- AI in operations: experience building or deploying AI-assisted operational capabilities in production — automated investigation, anomaly correlation, remediation agents, or deployment safety systems. We're not looking for hackathon prototypes; we want engineers who have shipped AI tooling that production systems depend on.
- 12+ years of relevant hands-on experience, with a clear track record of technical leadership on complex, cross-team infrastructure initiatives at product companies operating at scale.
About You
You've operated at Staff or Principal level before and know what it means to own a technical domain — not just execute within it. You're the person Engineering Managers and VPs call when a system needs to be rethought, not just fixed. You can set direction with incomplete information, make architectural trade-offs explicit, and build consensus across teams without needing organizational authority to do it.
You care about reliability the way a product engineer cares about user experience — it's not overhead, it's the product. You measure your success not by what you personally shipped, but by how much better the entire engineering organization runs because of the standards and systems you put in place.
You're drawn to the question of what operations looks like when AI agents handle the repetitive analysis and humans own the judgment calls — and you want to be the engineer who designs that boundary.
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.