Full Stack Developer

Residency

All applicants must reside in the United States at the time of application.

Overview

BigBear.ai is building a small, elite development team that delivers cloud-native applications directly supporting mission operations. This is a focused, high-impact environment where your work is highly visible and directly influences outcomes. We’re seeking a mid-level Full Stack Developer with strong Python backend skills and solid frontend craftsmanship who thrives in classified environments and brings a disciplined engineering mindset to building secure, maintainable systems under real operational pressure.

What you will do

You will design, build, and deliver end-to-end mission applications—from database schema and 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.

• Extend Python services and APIs using modern patterns (including Backend-for-Frontend when appropriate)
• Build and refine React/Next.js interfaces and dashboards for operational workflows.
• Design PostgreSQL schemas, create migrations, and troubleshoot performance issues
• Integrate authentication/authorization using OIDC/SAML-based solutions (e.g., Keycloak), including RBAC and secure token/session handling
• Deploy and operate applications in AWS environments (including classified regions/partitions)
• Contribute to infrastructure-as-code (Terraform) and CI/CD (GitLab) in a DevSecOps pipeline
• Review and remediate security scan findings with guidance from team standards (SAST/SCA and container scan results), and document fixes for reuse
• Use approved AI-assisted development tools to improve velocity and quality while protecting sensitive data

What you need to have

• Active TS/SCI clearance
• 3+ years of hands-on software development experience (or equivalent demonstrated capability)
• Strong Python development experience (Django, FastAPI, or similar) and modern API design practices
• Hands-on frontend development with React (Next.js a plus) for production systems
• Experience working with REST APIs, schema/contract validation (e.g., Pydantic-style), and writing maintainable tests
• Working knowledge of PostgreSQL (schemas, migrations, basic query performance troubleshooting)
• Practical experience delivering or operating applications in AWS (e.g., IAM, VPC basics, S3, KMS concepts; EKS/Aurora exposure is a plus)
• Familiarity with Git-based workflows and CI/CD fundamentals (GitLab experience is a plus)
• Security-minded engineering approach (least privilege, secrets handling, secure coding practices) and willingness to remediate findings from scanning tools
• Ability to work effectively on a small team: clear communication, strong ownership, and comfort with ambiguity

What we'd like you to have

• Experience integrating Keycloak or similar IAM tools; familiarity with OIDC, SAML, JWT, and RBAC concepts
• Exposure to CAC/PIV authentication considerations in DoD/IC environments
• Comfort contributing to Terraform modules and infrastructure changes with review support
• Experience in STIG-hardened and/or FIPS-validated environments (or strong interest in learning)
• Kubernetes/EKS and Helm familiarity
• Experience supporting DoD or IC mission systems
• Exposure to GenAI application features (RAG, LLM integration, embeddings/search)

Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

• Active TS/SCI clearance
• 3+ years of hands-on software development experience (or equivalent demonstrated capability)
• Strong Python development experience (Django, FastAPI, or similar) and modern API design practices
• Hands-on frontend development with React (Next.js a plus) for production systems
• Experience working with REST APIs, schema/contract validation (e.g., Pydantic-style), and writing maintainable tests
• Working knowledge of PostgreSQL (schemas, migrations, basic query performance troubleshooting)
• Practical experience delivering or operating applications in AWS (e.g., IAM, VPC basics, S3, KMS concepts; EKS/Aurora exposure is a plus)
• Familiarity with Git-based workflows and CI/CD fundamentals (GitLab experience is a plus)
• Security-minded engineering approach (least privilege, secrets handling, secure coding practices) and willingness to remediate findings from scanning tools
• Ability to work effectively on a small team: clear communication, strong ownership, and comfort with ambiguity

You will design, build, and deliver end-to-end mission applications—from database schema and 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.

• Extend Python services and APIs using modern patterns (including Backend-for-Frontend when appropriate)
• Build and refine React/Next.js interfaces and dashboards for operational workflows.
• Design PostgreSQL schemas, create migrations, and troubleshoot performance issues
• Integrate authentication/authorization using OIDC/SAML-based solutions (e.g., Keycloak), including RBAC and secure token/session handling
• Deploy and operate applications in AWS environments (including classified regions/partitions)
• Contribute to infrastructure-as-code (Terraform) and CI/CD (GitLab) in a DevSecOps pipeline
• Review and remediate security scan findings with guidance from team standards (SAST/SCA and container scan results), and document fixes for reuse
• Use approved AI-assisted development tools to improve velocity and quality while protecting sensitive data