DevSecOps Engineer, Lead

Booz Allen Hamilton•McLean, VA

1d•$99,000 - $225,000

About The Position

DevSecOps Engineer, Lead The Opportunity: At Booz Allen, we are advancing our emerging product business by building innovative AI-driven solutions, including agentic cybersecurity products. We are seeking a DevSecOps Engineer to join our internal product engineering team. 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. Due to the nature of work performed within this facility, U.S. citizenship is required. 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, automated testing, including vulnerability scanning and compliance checks, and monitoring into the development lifecycle to mitigate risks in agentic product workflows. Configure and optimize AWS services such as EC2, S3, Lambda, or ECS/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.

Requirements

5+ years of experience building and operating production-grade full-stack applications in cloud environments such as AWS
5+ years of experience with software development in both front-end and back-end technologies, including with languages such as Java, Python, or Go
3+ years of experience with design and architecture, including design patterns, reliability, and scaling of new and existing systems
Experience with Agile methodology, extreme programming, product management, and software products
Experience writing source code for new applications or generating and enhancing code samples for existing applications
Experience using back-end and front-end languages to develop complete solutions
Experience mentoring or supervising employees within a collaborative team environment
Experience acquiring client requirements and resolving workflow problems through automation optimization
Ability to display work samples
Bachelor's degree in CS, IT, Human-Computer Interaction, or AI

Nice To Haves

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 Java, Python, or Go
5+ years of experience with design and architecture, including design patterns, reliability, and scaling of new and existing systems
Experience developing market-leading products, including in cybersecurity
Experience working with or developing AI and ML based products
Experience in cybersecurity
Knowledge of AI frameworks such as TensorFlow, PyTorch, and scikit-learn
Master’s degree

Responsibilities

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, automated testing, including vulnerability scanning and compliance checks, and monitoring into the development lifecycle to mitigate risks in agentic product workflows.
Configure and optimize AWS services such as EC2, S3, Lambda, or ECS/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.