The Opportunity:

Bring your full-stack engineering expertise to help modernize GEOINT and national security-related mission systems. 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, and user‑centric tools that accelerate mission outcomes.

What You'll Work On:

• Implement end‑to‑end features across modern front‑end frameworks such as React, Angular, or Vue and back‑end microservices such as 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, including Docker, orchestrated with 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.

Join us. The world can’t wait. 

You Have: 

• 3+ years of experience with full stack software development

• Experience with modern object oriented languages such as Python, C++, or Java

• Experience with a front end framework, such as 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 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 If You Have: 

• Experience with Agile methodology, extreme programming, software engineering, product management, and software products 

• Experience with microservices patterns, event‑driven architectures, or message queues including Kafka, SNS, or 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

• Experience with deploying to AWS or Azure cloud environments

• Master’s degree in Computer Science or Software Engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.