BigBear.ai, Inc.

Full Stack Developer

BigBear.ai, Inc.$100K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance required
  • 5+ years of hands-on software development experience
  • Proficient in Python backend development with Django or FastAPI
  • Experienced frontend development with React or Next.js
  • Skilled in REST API design and schema validation
  • Proficient in PostgreSQL schema design and optimization
  • Experience with AWS cloud-native application delivery, including Terraform for IaC

Responsibilities

  • Design and build end-to-end applications from databases to user experiences
  • Extend Django-based APIs using modern design patterns
  • Develop React/Next.js interfaces for operational workflows
  • Create and optimize PostgreSQL schemas and data migrations
  • Integrate authentication systems with Keycloak and secure session management
  • Deploy and manage applications across AWS classified environments
  • Utilize AI-assisted development tools to enhance productivity

Benefits

  • Work in a high-impact environment with visible contributions
  • Opportunity to build secure and maintainable systems under operational pressures
  • Engagement with cutting-edge technologies and methodologies
  • Potential for personal and professional growth through hands-on experience
  • Be part of a mission-driven team supporting classified operations
Full Job Description
Overview

This is a focused, high-impact environment where your work is highly visible and directly influences outcomes. I'm looking for a Full Stack Developer with deep Python expertise and strong frontend craftsmanship who thrives in classified environments and brings a disciplined engineering mindset to building secure, maintainable systems under real operational pressure.

  • What We're Looking For
  • Backend (Python): Strong Python development experience with Django (or equivalent), modern API design, Pydantic-style validation, and async Python in production
  • Frontend (React/Next.js): Ability to deliver polished, responsive production UIs with thoughtful component design, effective state management, and strong UX attention
  • Databases (PostgreSQL): Schema design, query optimization, migrations, and data loading/transformation (Aurora experience is a plus)
  • Identity & Access: Hands-on integration of Keycloak and standards such as OIDC, SAML, JWT sessions, and CAC/PIV; strong understanding of RBAC and secure auth flows
  • Cloud (AWS): Practical experience deploying, operating, and troubleshooting cloud-native apps across classified partitions; familiarity with EKS, Aurora, S3, IAM, VPC, KMS
  • Infrastructure-as-Code: Comfort writing and maintaining Terraform modules
  • Secure Engineering: Experience building software for STIG-hardened, FIPS-validated environments; strong grasp of least privilege, secrets management, and secure SDLC practices
  • DevSecOps: Ability to interpret and remediate scan findings (SAST, DAST, SCA, container scanning, SBOM verification)
  • AI-Assisted Development: Regular use of AI-enabled tools in daily engineering work, with an understanding of strengths/limitations


What you will do

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 loading
  • AWS 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, Inc.

BigBear.ai is a leading provider of artificial intelligence and machine learning solutions that enable businesses to make better decisions by automating and augmenting their data analysis capabilities. The company's platform leverages advanced algorithms and data analytics tools to help organizations extract insights from large and complex data sets, and to develop predictive models that can be used to optimize business processes and improve operational efficiency. BigBear.ai's solutions are used by a wide range of industries, including defense, intelligence, finance, healthcare, and energy.
Learn more about BigBear.ai, Inc.
Size
200 employees
Market Cap
$90.6 million
Industry

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