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United States
Remote only
Ready to be a Titan?
ServiceTitan is building the Developer Platform for enterprise-scale SaaS: a shared engineering ecosystem that powers seamless, high-velocity software delivery across our entire product footprint.
This is not a collection of script-runners. Our DevX platform is the runtime, framework, build, deployment, guardrail, and telemetry layer that lets hundreds of engineers ship code safely, observably, and at enterprise scale.
We are looking for a Staff Software Engineer to be the deepest technical voice on our DevX platform team. This is an individual-contributor role with outsized scope: you'll set technical direction, make architecture calls that other engineers build against, and personally ship the hardest, highest-leverage parts of the platform. You won't manage people, but you'll be expected to lead through influence — raising the technical bar for engineers and managers alike.
We need someone with deep production scars, strong systems intuition, and the judgment to know when to go deep on a gnarly problem versus when to unblock the team and move on. You should be comfortable being the technical backstop for a small, senior-heavy team and the person other engineers (and their managers) come to when something is architecturally ambiguous or on fire.
What You'll Build
You will be a primary technical owner across foundational DevX platform capabilities, including:
Environments: Cloud development environments (CDEs), on-demand provisioning, high-fidelity mocking, data seeding, and configuration management.
Build & CI/CD: Build parallelization, remote caching, automated test-splitting, secure pipelines, and zero-downtime progressive rollouts.
Developer Portal: A unified internal platform (IDP) providing "Golden Paths," automated service scaffolding, and centralized API/service catalogs.
Guardrails & Compliance: Automated linting, security scanning, policy-as-code injection, and static analysis embedded natively in workflows.
Velocity Harness: DORA metrics, build telemetry, local-to-production feedback loops, test flakiness analysis, and infrastructure cost tracking.
AI-Native Tooling: AI-assisted development tooling and coding agent runtimes (e.g., Codex-style agents) that help engineering teams operate at "AI speed" — including the platform primitives (sandboxing, context/data access, evaluation harnesses) that make agentic coding safe at scale.
What You'll Do
Set technical direction for the platform: define architecture, platform contracts (service templates, environment configs, pipeline steps, deployment manifests), and long-term design tradeoffs.
Personally design and build the highest-leverage, highest-ambiguity pieces of the platform — the parts too risky or too foundational to hand off.
Review designs and code across the team; be the escalation point when a technical decision needs a final call.
Debug the hardest production issues in the platform: pipeline failures, build system regressions, infrastructure drift, flaky test root causes.
Partner directly with Product, Security, SRE, and domain engineering leads to align the platform roadmap with real usage patterns and constraints.
Mentor and level up engineers and EMs on the team through code review, design review, and pairing — without formal management authority.
Translate ambiguous, org-wide DevX strategy into a concrete technical roadmap that others can execute against.
Represent the platform in cross-functional architecture reviews and act as a technical reference for teams building on top of it.
Own the technical design of AI-assisted developer tooling and coding agent runtime infrastructure — evaluating, integrating, and hardening agentic coding tools for production use across R&D.
What You'll Bring
10-15+ years of software engineering experience, with a track record of technical leadership on platform, infrastructure, or DevX systems at scale.
Deep, current hands-on ability — actively writing code, reviewing designs, and debugging production systems, not principally directing others' work.
Experience owning (not just contributing to) CI/CD pipelines, build systems, internal developer portals, or test automation platforms in production, at meaningful engineering-org scale.
Strong command of modern developer tool architecture: containerization (Kubernetes/Docker), orchestration, remote caching, and cloud infrastructure (AWS/GCP) — including the tradeoffs behind each.
Deep expertise in environment safety: Role-Based Access Control (RBAC), secure secrets management, and automated compliance gates, with experience designing these systems rather than just using them.
Fluency with velocity metrics (DORA: cycle time, lead time for changes, deployment frequency) as design inputs, not just dashboards.
Demonstrated ability to turn ambiguous, org-level strategy into a technical roadmap without needing management authority to drive it.
A track record of raising the technical bar for teams they're not formally managing — through review, mentorship, and design leadership.
Hands-on experience building with or on top of coding agent runtimes (e.g., Codex, Copilot, Cursor, or similar) — not just using them as an end user, but integrating or extending them as platform infrastructure.
Preferred Experience
Experience designing or operating internal developer platforms, custom build networks, or internal control planes at multi-hundred-engineer scale.
Experience with compliance-sensitive workflows, change management systems, audit trails, or policy engines.
Background in SaaS or cloud-native infrastructure where software delivery speed directly impacts business outcomes.
Prior experience as a technical lead or architect on a platform team without direct reports.
Experience evaluating or building guardrails (sandboxing, permissions, eval harnesses) for autonomous or semi-autonomous coding agents in a real engineering org.
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.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
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 strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role is

Zone 1: $198,200 USD - $297,400 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA

Zone 2: $185,300 USD - $277,900 USD Applicable for: All other US locations.

International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.