DevSecOps Software Engineer

Booz Allen Hamilton•USA, VA, Langley AFB (209 Thornell Ave), VA

2d•$77,500 - $176,000•Remote

About The Position

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.

Requirements

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 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 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

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, 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.