Gallatin AI
Software Engineer with Clearance (TS, TS/CSI)
About this role
Gallatin seeks a cleared software engineer to build end-to-end logistics decision systems for national security missions. You'll design APIs, data pipelines, and database schemas while collaborating with cross-functional teams to deliver production-ready features that enhance military and disaster response operations.
What you'll do
- Build and extend API layers with performant CRUD operations focused on accuracy and speed
- Design and maintain relational database schemas and data models for complex real-world logistics entities
- Create data pipelines to ingest, transform, and distribute data across multiple systems
- Collaborate with UX, product, and backend teams on rapid feature development and deployment
- Contribute tested, production-ready code that passes CI/CD pipelines and code reviews
- Help define and improve engineering best practices, documentation, and CI/CD workflows
What they're looking for
- TypeScript, Python, or SQL
- Backend API development in strongly-typed languages
- Relational database design and optimization
- Data pipeline and ETL development
- HTTP protocols and debugging across full tech stacks
- Cross-functional communication and collaboration
- Cloud architecture (AWS, Azure, or Palantir Foundry)
- DevOps/Infrastructure-as-Code tools (Docker, Kubernetes, Terraform)
Benefits
- Competitive salary commensurate with experience
- Generous equity grants
- Full healthcare coverage
- 401k retirement plan
- Unlimited PTO
- High-caliber, mission-driven work environment
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Gallatin AI
Gallatin AI builds AI-powered logistics optimization systems for national security and defense operations, focusing on feasibility validation, allocation algorithms, routing networks, and supply chain decision-making. The company is hiring AI Engineers, Backend Engineers, and Infrastructure Engineers to design scalable, secure systems that ensure military logistics plans are compliant, auditable, and operationally robust.
View all jobs at Gallatin AILikely interview questions
- Describe your experience designing relational database schemas for complex, real-world systems and how you optimized performance.
- Walk us through a data pipeline or ETL process you've built—what challenges did you face and how did you solve them?