The Opportunity

As a Senior Full Stack Developer at Booz Allen, you will lead the modernization of mission‑critical GEOINT systems by architecting and delivering cloud‑native, data‑driven applications and microservices. In this senior role, you will shape technical direction, oversee the integration of modern pipelines, and develop secure, scalable solutions that directly impact analysts performing high‑consequence missions.

You’ll serve as a technical leader who advises on architecture, mentors engineers, and drives engineering excellence across complex modernization efforts.

What You'll Do:

• Lead architecture, design, and implementation of full‑stack capabilities across cloud‑native microservices

• Own major system components and guide the technical roadmap for modernization and cloud adoption

• Develop distributed, secure, scalable back‑end services using Python, Java/Spring Boot, or similar technologies

• Architect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patterns

• Guide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply‑chain integrity

• Integrate large‑scale data, search, or analytic pipelines, such as Kafka, NiFi, Elasticsearch

• Partner with product owners, mission users, and cross‑functional engineering teams to define requirements and technical strategy

• Mentor and support mid‑level and junior engineers; perform code reviews and drive engineering best practices

• Evaluate emerging technologies, including LLMs/AI, synthetic data, and augmented development tools for mission applicability

Join us. The world can’t wait. 

You Have:

• 6+ years of experience with full‑stack software engineering

• Experience leading technical delivery or architecture for cloud‑native or distributed systems

• Experience with Python, C++, Java, or Spring Boot

• Experience with SQL or NoSQL databases, such as PostgreSQL, DynamoDB, MongoDB, or SQLite

• Experience architecting and deploying solutions using AWS or Azure cloud frameworks

• Experience with containerization and orchestration, such as Docker and Kubernetes

• Experience with complex API ecosystems, such as FastAPT, REST, gRPC, or GraphQL

• Experience building secure, high‑performance applications in classified or highly restricted environments
• Active TS/SCI clearance; willingness to take a polygraph exam

• Bachelor’s degree in a STEM field

Nice If You Have:

• Experience with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, or NiFi
• Experience modernizing legacy applications into modern frameworks
• Experience with IaC tools such as Terraform or CloudFormation
• Experience integrating AI/ML or LLM‑based development workflows
• Experience supporting GEOINT or Intelligence Community analytic missions
• Master’s degree in Computer Science, Software Engineering or related field

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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.