Full Stack Developer Jobs
Full Stack Developer Jobs
Posted yesterday
SENIORITY
Senior
About the role
- You will design, build, and deliver end-to-end applications-from database schema and data migrations to API layers and the user experience mission users rely on daily.
- You'll support an established platform while also delivering pilot solutions and MVPs for emerging requirements. In a typical week, you may: Extend a Django-based API gateway and services using modern API patterns (including Backend-for-Frontend)
- Build and refine React/Next.js interfaces and dashboards for operational workflows
- Design PostgreSQL schemas, tune queries, and develop migrations to modernize legacy data
- Integrate authentication/authorization using Keycloak (OIDC/SAML), including RBAC and secure session/token handling
- Deploy and operate applications across multiple AWS partitions and classification levels
- Contribute to infrastructure-as-code (Terraform) and CI/CD (GitLab) in a DevSecOps pipeline
- Use AI-assisted development tooling as a standard part of your day-to-day workflow to improve velocity and quality
- What you need to have
- Must have an active TS/SCI clearance 5+ years of hands-on software development (or equivalent demonstrated capability)
- Python backend development (Django, FastAPI, or similar; async/ASGI; modern Python)
- Frontend development with React, Next.js, or equivalent (production systems-not prototypes)REST API design including Backend-for-Frontend patterns and strong schema validation practices
- PostgreSQL schema design, optimization, migrations, and data loadingAWS experience delivering and operating applications (including classified partitions/regions) Terraform (IaC)
- Keycloak and/or OIDC/SAML/CAC-PIV authentication integrations
- Secure development in STIG-hardened, FIPS-validated environments
- GitLab CI/CD and Git-based workflows
- DevSecOps scan remediation (SAST/DAST/SCA/SBOM/container scanning)
- Daily use of AI-assisted development tools
- What we'd like you to have
- Building GenAI features into applications (RAG, LLM integration, embeddings/search)
- Legacy system/data migration into modern cloud-native architectures
- Kubernetes/EKS and Helm
- Hardened container supply chains and FIPS-validated image pipelines
- Practical application of NIST 800-53 controls to software design
- Multi-classification / cross-partition deployment architectures
- Experience supporting IC or DoD mission systems
- About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
