Software Engineer, Platform; DevEx

Ready to be a Titan?
Service Titan 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.

• 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.

• 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.

• 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:…