Tech Lead Automation Engineer

Join our team as a Tech Lead Automation Engineer, where you'll take ownership of our internal automation platforms and lead the development of new operational systems. This hands-on role requires a strong background in software engineering, experience with AI-assisted coding tools, and a passion for automating manual processes. You'll work closely with non-technical stakeholders and have the opportunity to shape how the company automates operational work.

• Take technical ownership of internal automation platforms, including architecture, data model, background sync/scheduling, and roadmap.
• Design and build new operational systems from the ground up in response to emerging business needs, including systems of record for tracking assets and entitlements.
• Set and enforce engineering standards as the codebase scales beyond a single owner, ensuring separation of concerns, commit discipline, and logging.

• Demonstrated ownership of a production web application end-to-end: backend (Python; FastAPI or similar), relational database design (PostgreSQL, SQL, schema migrations), and frontend work
• Exposure to licensing, entitlement, or lifecycle-tracking systems (software licenses, IP/asset lifecycle, or similar compliance-adjacent tracking) is a strong plus
• Fluency with AI-assisted coding tools (Claude Code, Cursor, GitHub Copilot) as part of a daily development workflow
• Working knowledge of identity and access management — RBAC, SSO/OAuth2, and group provisioning via a directory service (LDAP or equivalent)
• BS/MS in Computer Science with 7+ years of professional software engineering experience
• A strong bias toward automating manual, cross-functional processes, and comfort scoping those flows directly with non-technical stakeholders (IT, HR, Finance)
• A track record as a hands-on technical lead — someone who owns architecture decisions and personally builds a meaningful share of the system, not just one who delegates
• Experience designing systems of record or inventory/asset-tracking tools, and the dashboards that surface their data to different audiences
• Experience integrating with enterprise SaaS APIs (e.g. Atlassian suite, Microsoft 365, GitHub/Bitbucket) and cloud infrastructure APIs (compute/storage, job schedulers)
• Owned an internal platform end-to-end before — not just contributed features to one — and are as comfortable designing a database schema as they are debugging a flaky integration with a third-party API
• Understand that access provisioning, asset tracking, and building insights are fundamentally the same problem — manual handoffs that should be code — and they get energy from turning that insight into a working syste
• Use AI coding tools fluently as part of how they build, not as an occasional aid. They can sit with an IT or Finance stakeholder, map out a manual process on a whiteboard, and walk away knowing exactly what to build — and they're just as comfortable being the only engineer on the project as they are pulling in help when the roadmap demands it