The Opportunity: 

Most engineering roles ask you to write software. This one asks you to design it, direct it, and stand behind it. As a full-stack software engineer, you can take a problem from vision to production-ready in a fast, agile environment. If you're looking for the chance to not just develop software, but to help design and create systems that make a difference, we need you on our team.

You'll work in an agentic-first codebase, where a large share of the code is drafted by AI agents working from a specification you write, then reviewed, tested, and shipped by you. The job is less about typing and more about judgment, decomposing work into verifiable pieces, writing the spec and the tests that constrain the agent, and reviewing what comes back with the same rigor you'd apply to a teammate's work. Engineers who can only prompt struggle here. So do engineers who insist on handwriting everything. We're looking for the one who does both well, and who can tell the difference between output that looks right and output that is right.

You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solutions your team delivers account for the current architecture and operating environment as well as future functionality and enhancements. And you'll help define how software actually gets built over the next five years, rather than just adopting someone else's workflow.

What You'll Work On:

• Ship features end-to-end across ten Python and FastAPI microservices and a React or TypeScript front end including database migration, service logic, API contract, UI, and tests in a single change.

• Author and maintain the agent harness that makes this codebase productive for AI agents including project-level instructions, reusable skills, specialized subagents, and the evaluations that tell you when the harness has regressed.

• Extend a multi-tenant authorization system modeled on AWS IAM including policy evaluation order, organizational guardrails, cross-organization consent, per-service database isolation, and audit trails that hold up under inspection.

• Deploy and operate LLM inference on Kubernetes including vLLM on GPU nodes, Helm charts, model routing, and per-request usage and cost accounting.

• Own infrastructure as code including Terraform modules for databases, caches, object storage, queues, and secrets across multiple environments.

• Promote releases through a staging → production → air-gapped enclave ladder, including packaging for environments with no internet egress.

• Review AI-generated changes for correctness, security, and architectural fit and when a class of mistake recurs, fix it in the harness rather than in the diff.

Join us. The world can't wait.

You Have: 

• 5+ years of experience with full-stack development, including a Python web framework such as FastAPI, Flask, or Django and a modern JavaScript framework such as React, Vue, or Svelte

• 3+ years of experience with cloud computing, including AWS, GCP, or Azure, and relational databases, including schema design, query performance, and versioned migrations

• 2+ years of experience with Kubernetes

• 1+ years of experience with agentic engineering using Claude Code, Codex, Cursor, or tools including writing project-level agent instructions, decomposing work into agent-executable specifications, and reviewing AI-generated code before merge

• Experience with Docker, Helm, and infrastructure as code, including Terraform, and managing and deploying LLMs in a Kubernetes environment

• Experience with LLM application patterns, including retrieval-augmented generation, vector databases, tool or function calling, or streaming inference

• Experience with Agile development and Git-based collaboration workflows, including issue tracking, merge requests, code review, and CI/CD pipelines such as GitLab or GitHub

• Ability to obtain a TS/SCI clearance

• Bachelor's degree

• Ability to obtain a DoD 8570 IAT Level II Certification within 2 months of hire date

Nice If You Have: 

• Experience managing and deploying applications in an air-gapped environment

• Experience with attribute or policy-based authorization systems, including AWS IAM, Cedar, OPA, Rego, or Casbin

• Experience with data handling in classified environments, including classification markings, compartments, or clearance-based access control

• Experience with GPU workload scheduling on Kubernetes, including time-slicing, MIG, or device plugins, OpenTelemetry, and distributed tracing across a microservice fleet

• Experience building evaluations, benchmarks, or regression harnesses for LLM-backed features

• Experience creating and conducting automated unit and system integration tests to identify and provide feedback on failed modules and components

• Experience contributing to open-source developer tooling, agent frameworks, or MCP servers

• Possession of excellent verbal and written communication skills, to communicate technical ideas and deliver briefings with cross-functional teams

• Master's degree

• Security+ Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.  

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.