We are standing up a small, elite development team to deliver cloud-native applications that directly support client operations. This is a focused, high-impact team where every engineer's contribution is visible and consequential. We are looking for a Full Stack Developer who combines deep Python expertise with genuine frontend craftsmanship, thrive in classified environments, and bring the kind of disciplined engineering mindset that produces secure, maintainable systems under real operational pressure.

Location: Hybrid, 2–3 days per week on-site in Suitland, MD

Start: Immediate

Team: 2–3 developers reporting to the technical lead

Stack: Python/Django, React/Next.js, PostgreSQL/Aurora, AWS (multi-partition), Terraform, GitLab CI/CD, Keycloak

Required Experience

• Active TS/SCI clearance
• Python backend development (Django, FastAPI, or equivalent; async/ASGI; modern Python 3.13+)
• Frontend development with React, Next.js, or equivalent (production UIs, not prototypes)
• RESTful API design including BFF patterns and schema validation
• PostgreSQL — schema design, query optimization, migrations, data loading
• AWS — deploying and operating applications across classified partitions and regions
• Terraform for infrastructure-as-code
• Keycloak, OIDC, SAML, or CAC/PIV authentication integration
• Secure application development for STIG-hardened, FIPS-validated environments
• GitLab CI/CD pipelines and Git-based workflows
• DevSecOps scan interpretation and remediation (SAST, DAST, SCA, SBOM, container scanning)
• AI-assisted development tooling in daily practice
• 5+ years hands-on development (or equivalent demonstrated capability)

Preferred Experience

• Incorporating generative AI capabilities into applications (RAG pipelines, LLM integration, or embedding-based search)

• Migrating legacy systems and data sources into modern cloud-native architectures

• Container orchestration with Kubernetes/EKS and Helm

• Hardened container supply chains and FIPS-validated image pipelines

• NIST 800-53 security controls and their practical application to software design

• Multi-classification or cross-partition deployment architectures

• Familiarity with intelligence community environments and DoD mission systems