DevSecOps Software Engineer

Job Number: R0240777

DevSecOps Software Engineer

The Opportunity:

Today's dynamic technology landscape demands constant and rapid innovation. To facilitate this transformation, we must ensure continuous integration and application development. That's why we need you, an experienced DevOps engineer who's eager to design, test, and program critical applications for our clients who need them most.

This role focuses on establishing and operating robust infrastructure for our agentic products, with an emphasis on Infrastructure as Code (IaC) and integrating security into DevOps practices. You will design and implement a fully matured CI/CD pipeline using GitHub and AWS, spanning development, integration, staging, and production environments. As a key contributor, you'll ensure our products are secure, scalable, and market-ready, driving efficiency and innovation in our cybersecurity offerings.

What You'll Work On:

• Design, implement, and maintain automated CI/CD pipelines using GitHub Actions, integrated seamlessly with AWS services to support agentic AI product deployments across dev, integration, staging, and production environments.
• Develop and manage IaC using tools like Terraform or AWS CloudFormation to provision and configure AWS resources, ensuring consistency, scalability, and security.
• Embed security controls, monitoring, and automated testing, including vulnerability scanning and compliance checks, into the development lifecycle to mitigate risks in agentic product workflows.
• Configure and optimize AWS services, such as EC2, S3, Lambda, or ECS and EKS for high availability, performance, and cost-efficiency, tailored to AI-driven cybersecurity applications.
• Work closely with AI engineers, product managers, and developers to align infrastructure with product needs, troubleshoot issues, and foster a culture of automation and security.
• Monitor pipeline performance, implement best practices for disaster recovery and scaling, and stay ahead of emerging DevSecOps trends to enhance product reliability and market value.

Join us. The world can't wait.

You Have:

• 5+ years of experience building and operating production-grade full-stack applications in cloud environments, such as AWS, Azure, Oracle, or GCP
• 5+ years of experience with software development in both front-end and back-end technologies, including with languages such as Python, Java, JavaScript, React, or Node.js
• 3+ years of experience with design and architecture, including design patterns, CI/CD pipelines, scripting, and scaling of new and existing systems
• 3+ years of experience in Infrastructure as Code such as Terraform, ArgoCD, or CloudFormation
• Experience with Agile methodology, software engineering, product management, and software products
• Experience writing source code for new applications, or generating and enhancing code samples for existing applications
• Experience mentoring or supervising employees within a collaborative team environment
• Experience acquiring client requirements and resolving workflow problems through automation optimization
• TS/SCI clearance
• Bachelor's degree in Science, Technology, Engineering, or Mathematics

Nice If You Have:

• 7+ years of experience building and operating production-grade full-stack applications in cloud environments, such as AWS
• 7+ years of experience with software development in both front-end and back-end technologies, including with languages such as Python, Java, JavaScript, React, or Node.js
• 5+ years of experience with design and architecture, including design patterns, reliability, and scaling of new and existing systems
• Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, Jenkins, or Azure
• Experience triaging and resolving issues related to both open-source and commercial tools in public cloud environments
• Experience creating and improving continuous automation across multiple technical stacks
• Experience with containerization and container orchestration platforms using tools, such as Docker and Kubernetes
• Experience working with or developing AI and ML-based products
• Knowledge of common build tools such as Maven, Gradle, and NPM
• Knowledge of AI frameworks such as TensorFlow, PyTorch, and scikit-learn

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 $77,500.00 to $176,000.00 (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.