Job Description
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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
- 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.
Flexible / Broader Lens
- 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.
Engagement & Logistics
- Engagement Length: 1 year or more
- Time Zone: EST - 08.00 am to 5.00 pm
- Overtime Required: No
- Equipment: BYOD (Bring Your Own Device)
Selection process
- Meeting with Resilient Co. team.
- Client technical interview
- Client interview (Cultural fit)
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Resilient Co
View Company ProfileResilient Co is a specialized talent and advisory firm dedicated to architecting high-performance recruitment ecosystems for growing enterprises. Moving away from reactive, fragmented hiring models, the company provides a comprehensive, scalable "talent-as-a-service" infrastructure that aligns human capital strategy directly with business growth objectives. By engineering robust hiring processes, standardized interview frameworks, and data-driven talent team structures, they empower organizations to evolve from chaotic growth phases to sustainable, professionalized operations. Their methodology—built on deep, hands-on experience in scaling teams from the ground up—replaces dependency with internal capability, ensuring that clients develop the autonomous processes, metrics, and branding needed to attract and retain elite talent. Through an integrated, "embedded" consulting approach, Resilient Co serves as a strategic partner that not only identifies operational talent-gaps but actively builds the long-term infrastructure required to bridge them, effectively future-proofing the organization’s workforce in an increasingly competitive, high-velocity talent market.
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