Full Stack Software Engineer

Full Stack Software Engineer

The Opportunity: 

As a Full Stack Developer, you can resolve a problem with a complete end-to-end solution in a fast and agile environment. If you’re looking for the chance to not just develop software, but to architect systems that make a meaningful difference to national defense, we need you on our team. We’re seeking a Full Stack Developer with the engineering depth to build enterprise-grade mission systems and the leadership skills to guide delivery teams. 

As a Full Stack Developer supporting The Department of War (DoW) and the Intelligence Community (IC), you’ll help modernize ISR mission and weapon-system environments, integrating cloud, platform engineering, DevSecOps, microservices, and digital thread concepts into resilient software solutions. You’ll ensure every solution considers the broader architecture, security posture, and future capability enhancements required to transition technologies into operational use.

Join us. The world can’t wait. 

You Have: 

• 3+ years of experience in software engineering

• Experience architecting and deploying full stack applications, including backend services, front-end components, and API-driven integrations

• Ability to work with two modern languages, including Python, Java, C++, JavaScript, or TypeScript

• Ability to work with a front-end framework, such as React, Angular, or Vue

• Ability to work with CI/CD pipelines, Git-based workflows, automated testing, and secure coding practices 

• Ability to work with containers and orchestration technologies, such as Docker, Podman, Kubernetes, or OpenShift 

• Ability to work with infrastructure-as-code and environment automation, such as Terraform or Ansible 

• Secret clearance

• Bachelor’s degree in Computer Science or Engineering

Nice If You Have: 

• Experience integrating software with MBSE or digital engineering environments, such as SysML, Cameo, or MagicDraw

• Experience developing software for DoD or Intelligence Community mission systems

• Experience with MLOps, data engineering pipelines, or modeling and simulation tools, including STK, MATLAB, or Simulink

• Knowledge of AWS, Azure, or GCP cloud architecture, zero-trust principles, service mesh, and enterprise observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry

• TS/SCI clearance

• CISSP, CKAD, CKA, AWS, Azure, or Security+ Certification

Clearance:

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

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

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.