Full Stack Software Engineer, Mid

The Opportunity: 

As a full stack software engineer, you can solve complex technical challenges by delivering end-to-end solutions in a fast-paced, agile environment. If you're looking for the opportunity to not only build software but also influence modern engineering practices and technology strategy, we want you on our team.

We're seeking a developer with experience across application development, scientific computing, cloud-native architectures, and DevSecOps practices to help design, develop, and deploy mission-critical software solutions. You'll work closely with cross-functional teams to transform requirements into scalable, production-ready applications that leverage modern web technologies, automation pipelines, and AI-assisted development tools.

What You'll Work On: 

• Implement architecture for MATLAB-to-Python modernization programs.

• Build scalable, containerized systems with CI/CD automation.

• Engage in the development of standalone and cloud-deployable applications.

• Build data solutions using PostgreSQL and Elasticsearch.

• Participate in engineering teams on design, implementation, and best practices.

• Ensure systems meet performance, security, and scalability requirements.

Join us. The world can’t wait. 

You Have: 

• 4+ years of experience designing, developing, testing, and deploying software applications in agile development environments

• 4+ years of experience programming in Python for application development, automation, data processing, or analytics

• Experience developing algorithms, simulations, or engineering applications using MATLAB

• Experience building modern web applications using React, JavaScript, TypeScript, HTML5, or CSS

• Experience developing backend services and RESTful APIs using Node.js

• Experience designing and implementing CI/CD pipelines using tools such as GitLab CI, GitHub Actions, Jenkins, or Azure DevOps

• Experience developing and deploying containerized applications using Docker and Kubernetes

• Experience working with cloud-native architectures and microservices-based solutions

• Active TS/SCI clearance; willingness to take a polygraph exam

• Bachelor’s degree in a STEM field

Nice If You Have: 

• Experience implementing DevSecOps practices and security automation within CI/CD pipelines

• Experience developing AI or ML solutions using Python frameworks such as PyTorch, TensorFlow, or Scikit-learn

• Experience with software performance optimization, monitoring, and observability tools

• Experience supporting scientific computing, simulation, modeling, or data analytics applications

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

• Master’s degree in Computer Science, Software Engineering, or a 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.

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 $69,300.00 to $158,000.00 (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.