DevSecOps Engineer

Booz Allen Hamilton • McLean, VA

1d • $77,600 - $176,000 • Hybrid

About The Position

The DevSecOps Engineer will support federal clients in advancing their missions by helping build and maintain secure, scalable cloud platforms and shared AI services. The role combines cloud operations and AI-enabled engineering, with opportunities to strengthen DevSecOps practices and apply emerging AI capabilities to cybersecurity, virtual agents, and AIOps.

Working in an Agile environment, the engineer will collaborate with cloud architects, SREs, data engineers, product owners, and subject-matter experts to take solutions from concept to production. Work is hybrid and may require working at a Booz Allen or customer facility according to leadership expectations and role needs. U.S. citizenship is required because of the nature of the facility work. Applicants selected will be subject to a government investigation and may need to meet the client’s eligibility requirements.

Requirements

• At least 3 years of experience developing or improving DevSecOps tools and processes, including automated builds, testing, monitoring, and releases.
• At least 3 years of experience troubleshooting and resolving CI/CD pipeline failures, deployment issues, or performance latency.
• Experience with AWS and cloud-native technologies such as Kubernetes, Docker, and GitHub Actions or GitLab CI/CD.
• Experience with Infrastructure as Code using Terraform and Terragrunt.
• Experience with Python and Boto3.
• Experience with AI-assisted software development tools such as Copilot, Claude Code, Kiro, or Codex.
• Ability to work effectively in Agile delivery environments and communicate with technical and nontechnical stakeholders.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or Data Science.
• U.S. citizenship is required.
• Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Nice To Haves

• Experience building, deploying, and operating anomaly-detection solutions and pipelines.
• Experience with GitOps tools such as Flux or Argo CD.
• Experience with Red Hat, Ubuntu, or other Linux environments, including network and system troubleshooting.
• Experience with responsible AI practices, including explainability, fairness, bias assessment, and appropriate human oversight.
• Experience integrating AI capabilities into enterprise workflows, virtual agents, document processing, security, or AIOps use cases.
• Experience implementing and validating NIST security controls for FedRAMP- and FISMA-compliant systems.
• Experience with Databricks.
• CKA/CKAD, AWS, or comparable cloud certification.

Responsibilities

• Develop or improve DevSecOps tools and processes, including automated builds, testing, monitoring, and releases.
• Troubleshoot and resolve CI/CD pipeline failures, deployment issues, and performance latency.
• Support secure, scalable cloud platforms and shared AI services for federal clients.
• Collaborate with cloud architects, SREs, data engineers, product owners, and subject-matter experts in an Agile environment to deliver solutions from concept to production.
• Apply emerging AI capabilities to areas such as cybersecurity, virtual agents, and AIOps.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level