The Opportunity:
Everyone is trying to “harness the cloud,” but not everyone knows how. As an AWS DevSecOps engineer, you’re eager to develop, manage, and secure cloud-native applications and container platforms that support Air Force and Department of Defense missions. We need you to build the automation and security controls that enable reliable deployment of mission applications and AI-enabled capabilities in AWS GovCloud.

As a senior platform DevSecOps engineer at Booz Allen, you’ll serve as the team’s AWS DevSecOps and cloud security subject matter expert. You’ll work with software, AI and ML engineers, cybersecurity professionals, architects, and mission stakeholders to deploy and operate AI agents built with Booz Allen’s Agent Foundry, enterprise knowledge and retrieval applications, data analytics platforms, and computer vision capabilities.

You’ll design secure AWS architectures, develop Infrastructure as Code, and build and maintain CI/CD pipelines that integrate automated testing, security scanning, and policy enforcement. You’ll manage and harden containerized workloads, implement identity and access controls, network segmentation, encryption, and secrets management, and establish repeatable deployment processes across environments.

You’ll translate cybersecurity requirements into automated controls and support Risk Management Framework and Authority to Operate activities through technical implementation and evidence generation. You’ll implement logging, monitoring, and alerting; support vulnerability remediation and operational troubleshooting; and improve the reliability and security of cloud-hosted applications.

You’ll review architectures, evaluate cloud and container technologies, and mentor engineers on secure development and DevSecOps practices. Your work will help the team move mission capabilities from development into secure, resilient operation.

Work with us to use cloud platform technology for good.

Join us. The world can’t wait.

You Have:

• 5+ years of experience in DevSecOps, cloud engineering, platform engineering, or cybersecurity engineering
• 3+ years of experience designing, deploying, and securing AWS environments using identity, networking, encryption, logging, and monitoring services, such as IAM, VPCs, Security Groups, KMS, CloudTrail, CloudWatch, GuardDuty, Security Hub, and AWS Config
• Experience developing Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK
• Experience building, maintaining, and troubleshooting CI/CD pipelines with automated builds, testing, security checks, and releases across environments using GitHub Actions, GitLab, Jenkins, Azure DevOps, or AWS-native services
• Experience deploying and managing containerized workloads using Docker and Kubernetes
• Experience integrating vulnerability management, application and infrastructure security scanning, secrets management, software supply chain security, and compliance checks into delivery workflows
• Experience with Linux system administration and automation using Bash or Python
• Experience working with application development and cybersecurity teams across the software development lifecycle, with knowledge of Zero Trust principles and secure-by-design practices
• Ability to obtain a Secret clearance
• Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or Engineering

Nice If You Have:

• Experience supporting Air Force, Space Force, Department of Defense, or Intelligence Community programs, including work in AWS GovCloud or other regulated Cloud environments
• Experience supporting RMF and ATO activities and implementing NIST SP 800-53, FedRAMP, DoD Cloud Computing Security Requirements Guide, or STIG requirements
• Experience with Kubernetes and container security, Amazon EKS, GitOps, Policy-as-Code, or automated compliance validation
• Experience deploying and operating AI and ML, generative AI, computer vision, or data analytics applications, including MLOps or LLMOps practices
• Experience with Amazon Bedrock, SageMaker, OpenSearch, vector databases, knowledge graphs, or agentic AI platforms
• Experience implementing cloud security posture management, continuous monitoring, enterprise observability, or incident response processes
• Secret clearance
• Master’s degree in a Technical field
• AWS Certified Security – Specialty, AWS Certified Solutions Architect – Professional, or AWS Certified DevOps Engineer – Professional Certification
• CISSP, Security+, or a equivalent Cybersecurity Certification

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

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.