Full Stack Developer

Summary

The Full Stack Developer is a growth-track engineer who writes and owns code across the full stack and is preparing to accelerate toward Tech Lead readiness. You will work on Traverse, a flagship SaaS product for child welfare and HHS case managers, on a small, flat, high-autonomy team where end-to-end ownership and engineering quality matter.

This role requires daily, habitual use of agentic AI tooling and strong test-first habits. The team expects consistent full-stack delivery across backend, frontend, and database layers and a proactive, collaborative approach to how the team builds software.

Responsibilities

• Deliver features end-to-end: database schema and API design through UI implementation, automated testing, and deployment.
• Pick up and complete work independently, expected within the first two weeks.
• Write and maintain unit, integration, and end-to-end tests as part of the definition of done.
• Participate actively in code review as both contributor and recipient, providing direct, actionable feedback.
• Coach and support junior developers through pairing and review.
• Contribute to architectural and design conversations with awareness of tradeoffs.
• Operate and tolerate independent troubleshooting and incident response.
• Proactively seek and own the next pieces of work without waiting to be assigned.
• Partner with QA to improve processes and shared quality standards.
• Adopt and improve agentic engineering workflows as they evolve on the team.

Requirements

Must Have

• 4–5 years of professional software engineering experience.
• Full-stack capability across all layers of the stack — front end, back end, database, CI/CD
• AI-First Engineering Mindset: Proven trajectory of daily, high-impact AI-assisted development using agentic tools (e.g., Cursor, Claude Code, GitHub Copilot) prioritized over raw years of experience.
• Full-Stack Proficiency: Solid, end-to-end expertise across C# (.NET) for backend, and frontend JavaScript frameworks (strongly preferred)
• Engineering fundamentals: test-first development (tests before implementation), clean code, code quality, consistent conventions
• Database & Data Layer Mastery: Strong proficiency in database design and management, with direct experience in PostgreSQL (strongly preferred)
• Ability to contribute meaningfully to architecture and system design conversations.

Nice to Have​​​​​​​

• Specific Ruby on Rails or AWS experience is a plus but not a dealbreaker — leader and engineer capability comes first, stack specifics second
• At this level, the candidate should navigate across languages and frameworks with relative ease
• React/TypeScript, and PostgreSQL is a strong advantage
• AI tool preference is agnostic — the specific tool does not matter as long as they work fluently with AI in their daily practice.