Gallatin AI
Cleared Software Engineer (TS and TS/SCI)
About this role
Gallatin is seeking a cleared software engineer to build intelligent logistics systems that enhance national security operations. You'll develop full-stack features, design data models, and collaborate with cross-functional teams to create resilient resupply solutions that go beyond typical SaaS products.
What you'll do
- Extend API layers with performant CRUD operations and database schema design
- Build and test production-ready code integrated with CI/CD pipelines
- Design data pipelines to ingest, transform, and distribute data across systems
- Collaborate with UX, product, and backend teams on rapid feature delivery
- Maintain relational database schemas and leverage semantic data modeling
- Contribute to engineering best practices and CI/CD workflow improvements
What they're looking for
- TypeScript, Python, SQL, or Vue.js
- Backend API development in strongly-typed languages
- Relational database design and query optimization
- Data pipeline/ETL and stream processing experience
- Full-stack debugging across tech stacks
- Cross-functional communication and collaboration
- DevOps, Docker, Kubernetes, or Infrastructure-as-Code (bonus)
- AWS, Azure, or Palantir Foundry cloud platforms (bonus)
Benefits
- Work on mission-critical national security logistics systems
- Collaborate with experienced entrepreneurs and technologists
- Opportunity to build systems that operate in contested environments
- Focus on practical impact beyond standard SaaS products
- Culture emphasizing clear thinking and ownership
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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
- Walk us through your experience designing and maintaining relational database schemas. How have you approached complex data modeling for real-world entities?
- Describe a time you built or maintained a data pipeline that ingested and transformed data between multiple systems. What challenges did you face and how did you solve them?