About Gallatin

At Gallatin, we are rebuilding defense logistics for the warfighters of the United States and allied forces. We take an AI-first approach to improve defense readiness through software products that streamline and modernize logistics operations from factory to foxhole and result in better decisions and outcomes.

About the Role

We are looking for cleared (TS or TS/SCI required) engineers who can build demo-able end-to-end flows that make resupply operations smarter, faster, and more resilient. You'll collaborate daily with a top notch team of engineers who value thoughtful design and practical impact. If you’re looking to build systems that go beyond the usual SaaS cloud-based product, this could be your next chapter.

What You'll Do

• Build and deliver features that support our mission statement

  • Extend our existing API layer with performant CRUD methods, with a focus on performance and accuracy

  • Collaborate with UX team and backend developers on rapid feature buildouts

  • Contribute tested, production-ready code that passes our CI/CD pipeline

  • Technical depth in at least one of these areas is preferred: Typescript, Python, SQL, Vue.js

• Design and maintain data models and pipelines that power our Navigator platform

  • Define and evolve relational database schemas and to represent complex real-world entities

  • Build data pipelines to ingest, transform, and distribute data between systems

  • Leverage our semantic data modeling SDK to architect efficient storage and retrieval methods

• Collaborate with cross-functional teammates to improve our systems and practices

  • Work closely with product managers, UX designers, and other engineers to ensure features and data models align with user needs and mission outcomes.

  • Contribute to engineering best practices: from code reviews and documentation, to refining CI/CD pipelines, helping us foster a culture of excellence.

  • Help define best practices, continuously improve CI/CD workflows, while keeping DX at the forefront!

What We’re Looking For

• Candidates with Top Secret Clearance (TS or TS/SCI preferred)

• Technical Proficiency

  • Comfortable debugging and navigating issues across the entire tech stack

  • Familiarity with HTTP request codes

  • Experience developing backend APIs or services in a strongly-typed language

• Data modeling and architecture

  • Hands-on experience with relational databases – designing schemas, writing efficient queries, and ensuring data integrity and performance

  • Experience with processing data streams and/or building or maintaining data pipelines/ETL processes to handle complex data flows between multiple systems

• Great communicator

  • Experience working closely with diverse teams (engineering, product, design) to drive projects to completion

  • Clear and concise communication, whether in designing system architecture or everyday documentation

• Growth mindset

  • Always seeing to learn and stay current with industry trends and tools

Bonus Points

• Experience building offline-first or progressive web applications (PWAs) that operate smoothly with limited or intermittent connectivity.

• Hands-on experience with DevOps or Infrastructure-as-Code (CI/CD pipelines, Docker/Kubernetes, Terraform, etc.)

• Experience with cloud-based architecture such as AWS, Azure, Palantir Foundry

• Contributions to open-source projects

Why Gallatin?

• Join a mission-driven, high-impact, and fast-moving startup where your work directly improves defense logistics readiness for the warfighters of the United States and allied forces.

• Work alongside a team of passionate engineers, designers, and industry experts.

• Competitive compensation incl. generous options grant, 100% employer-paid health insurance premiums, 401k, opportunities for rapid career growth, unlimited PTO, free lunches and snacks in the office.

This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary.

If you’re not excited about working hard, and solving the hard problems of building AI decisions-support systems that enhance our warfighters, don’t apply.