Full Stack Node/Typescript Engineer

Culmen International LLC

About The Position

We're looking for a Full Stack Engineer with GCO and Federal experience to join a small, high-impact team building data-intensive products at the intersection of modern web infrastructure and AI. This role is as much about depth as it is breadth — you'll embed yourself in our existing systems, become a trusted owner of critical functionality, and contribute meaningfully to new feature development from day one. The core of our stack is Node.js and TypeScript, and you'll be working across the full lifecycle — from API design and backend service logic to frontend integration and deployment. But what will truly set you apart in this role is a data-first mindset. We work with complex, structured datasets and increasingly sophisticated pipelines, so strong fluency in SQL and data modeling is essential. You should be comfortable thinking through schema design, query optimization, and how data flows through a system end-to-end. Beyond the fundamentals, we're actively building toward agentic AI implementations — automated pipelines, LLM-integrated workflows, and intelligent tooling that extends what our platform can do. Experience with or genuine curiosity about this space will go a long way. This is a great fit for someone who likes to understand systems holistically, takes pride in clean, maintainable code, and is energized by working on problems that sit at the edge of product and data engineering. You won't be siloed — expect to collaborate closely across the team, ask hard questions, and have real ownership over what you build.

Requirements

GCO and Federal Experience is a must
3+ years of professional software engineering experience, with strong hands-on proficiency in Node.js and TypeScript
Solid understanding of REST API design and backend service architecture
Strong SQL fluency — you can write complex queries, design normalized schemas, and reason clearly about data modeling and relationships
Experience working in GitHub-based workflows, including branching strategies, pull requests, and collaborative code review
Familiarity with Jira for task and sprint management in an agile or scrum environment
Demonstrated ability to onboard into an existing codebase, understand system dependencies, and contribute meaningfully without requiring heavy hand-holding
Comfort working across the full stack — you don't need to be a designer, but you can own a feature from the database layer to the API to the UI
Experience writing and maintaining technical documentation (Confluence or equivalent)
Strong debugging and troubleshooting skills — you approach production issues methodically and see them through to resolution
Clear, proactive communicator who keeps teammates informed and asks questions early rather than spinning in silence

Nice To Haves

Hands-on experience with Google Cloud Platform (GCP) — particularly services like BigQuery, Cloud Run, Vertex AI, or Cloud Storage
Familiarity with Claude Code or similar AI-assisted development tools, and a comfort level integrating LLM-powered workflows into day-to-day engineering work
Experience working with or building agentic AI systems — automated pipelines, multi-step LLM orchestration, or tool-use implementations
Prior experience supporting federal government contracts or programs, including an understanding of the documentation, compliance, and delivery expectations that come with that environment
Exposure to geospatial data concepts, tools, or platforms (e.g., H3, GeoJSON, PostGIS, Google Earth Engine)
Experience with data pipeline development — ingestion, transformation, and delivery of structured datasets at scale
Familiarity with Python as a secondary language for scripting, data processing, or ML-adjacent work
Comfort working in a startup or small team environment where roles are fluid, priorities can shift, and self-direction is valued
Experience with Anthropic's API or other LLM APIs (OpenAI, Gemini, etc.) in a production context
An interest in — or prior exposure to — mobile data collection platforms, intelligence tooling, or data-as-a-service products

Responsibilities

Dive deep into our existing codebase to build a thorough understanding of our architecture, data models, and service dependencies — becoming a reliable backup and steward of core systems
Write clean, well-documented TypeScript and Node.js code across backend services, APIs, and frontend features, with a consistent eye toward maintainability and performance
Manage your work through Jira — picking up tickets, contributing to sprint planning, and keeping tasks and statuses accurate so the team always has clear visibility into progress
Collaborate via GitHub using pull requests, code reviews, and branching strategies that keep our codebase healthy and deployments predictable
Maintain and expand technical documentation in Confluence, ensuring that institutional knowledge is captured, up to date, and accessible to the whole team
Participate in regular code reviews — both giving and receiving feedback thoughtfully to raise the quality bar across the board
Help triage, debug, and resolve production issues, taking ownership of problems through to resolution rather than passing them along
Contribute to the design and implementation of new features end-to-end, from data modeling and API design to integration and testing
Proactively flag technical debt, inconsistencies, or risks you encounter and work collaboratively to address them over time
Engage in team ceremonies — standups, sprint reviews, retrospectives — and bring a constructive, communicative presence to everything you do

Benefits

Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners)
401k – Vested immediately and 4% match
Life insurance and disability paid by the company
Supplemental Insurance Available
Opportunities for Training and Continuing Education
12 Paid Holidays

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