Full Stack Developer, Mid

Booz Allen Hamilton•Aurora, CO

3d•Onsite

About The Position

Bring your full-stack engineering expertise to help modernize OPIR research and development. As a mid-level engineer, you’ll build cloud-native microservices, develop scalable front-end interfaces, and support the transformation of legacy analytical pipelines into modern, secure architectures that directly empower analysts in exploitation, tracking, visualization, and reporting workflows. You’ll join a collaborative technical delivery team where you’ll contribute to secure, reliable, user-centric tools that accelerate mission outcomes.

Requirements

4+ years of experience with full-stack software development
Experience in a modern object-oriented language
Experience with a front-end framework, including React, Angular, or Vue, or with HTML, CSS, and JavaScript
Experience developing and consuming FastAPI, REST/gRPC or GraphQL APIs
Experience with Docker and Kubernetes
Experience deploying to AWS or Azure cloud environments
Experience with GitLab, GitHub, or Jenkins CI/CD automation
Experience working with SQL or NoSQL databases, such as PostgreSQL, DynamoDB, MongoDB, or SQLite
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in a STEM field

Nice To Haves

Experience with microservices patterns, event-driven architectures, or message queues, such as Kafka or SNS/SQS
Experience integrating synthetic data, analytic models, or ML pipelines into applications
Experience with Elasticsearch/OpenSearch or distributed search systems
Experience with user-centered design or reusable component libraries
Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach
Master’s degree in Computer Science, Software Engineering, or related field

Responsibilities

Implement end-to-end features across modern front-end frameworks, such as React, Angular, or Vue, and back-end microservices, including Python, Java, or Node.js
Build, enhance, and integrate API frameworks, such as FastAPI, RESTful, gRPC, or GraphQL APIs
Develop scalable services using containerized workloads, such as Docker, orchestrated via Kubernetes
Support cloud deployments, such as AWS or Azure, including IaC using Terraform or CloudFormation
Contribute to modern DevSecOps practices, including automated testing, code quality enforcement, GitLab/GitHub CI/CD pipelines, and security scanning
Participate in Agile sprint planning, backlog refinement, peer code reviews, and user-focused design discussions
Integrate data, ML-enabled, or analytic pipeline components into mission workflows, working closely with data engineers and analysts
Troubleshoot issues across the full stack and contribute to team-wide engineering improvements