Teams at Gallatin AI, Inc.

Build and operate a Kubernetes-based data platform spanning lakehouse storage, ingestion, transformation, entity resolution, lineage, and data quality. Develop batch and streaming pipelines across heterogeneous and disconnected environments, create full-stack tools for subject matter experts, and expose documented APIs for applications and AI agents. Collaborate with product, AI/ML, infrastructure, mission partners, and field teams while mentoring engineers and supporting secure, air-gapped deployments.

Build and operate secure, production-grade infrastructure across Kubernetes, commercial and government clouds, edge appliances, classified networks, and air-gapped environments. Responsibilities include platform architecture, infrastructure coding, artifact pipelines, monitoring, incident response, security hardening, CVE remediation, STIG implementation, audit readiness, and DevSecOps improvement. Collaborate with Product, Engineering, GRC, and mission teams to support reliable deployments in IL5, IL6, and JWICS environments.

Build end-to-end fullstack features for logistics and national security systems. Responsibilities include developing performant APIs, creating relational data models, building data pipelines, collaborating with product and UX teams, writing tested production code, and improving CI/CD workflows. The role may involve classified environments and requires the ability to obtain and maintain a U.S. government security clearance.