Full Stack Software Engineer, Senior

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.

Join us. The world can’t wait.

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 such as LLMs / AI, synthetic data, augmented develop ment tools for mission applicability

6+ years of experience with full‑stack sof tware engineering

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

Experience with Python, C++, Java, Spring Boot, or enterprise service stacks

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

Experience working with automated testing tools to perform testing and maintenance

Experience with AI‑augmented develop ment workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach

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 develop ment workflows

Experience supporting GEOINT or Intelligence Community analytic missions

Master’s degree in Computer Science, Sof tware Engineering or a related field

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.

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.

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.

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.