DevSecOps Engineer

Accenture Federal Services•Arlington, VA

13d

About The Position

At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve people's lives. We are a technology company within global Accenture, with over 13,000 employees dedicated to leveraging technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. We are recognized as a Glassdoor Top 100 Best Place to Work, offering a collaborative and supportive community that empowers growth through hands-on experience, certifications, and industry training. Join us to drive meaningful change and advance government missions. As a DevSecOps Engineer, you will be instrumental in advancing operational AI adoption by implementing and maintaining secure, automated CI/CD pipelines within a modern Hub-and-Spoke architecture. You will utilize observability platforms and mission-focused operational workflows to ensure continuous delivery and rapid response to evolving security requirements. Your expertise will directly contribute to integrating AI, DevSecOps, and cybersecurity practices, accelerating software delivery while upholding robust security and compliance standards. This role involves integrating security scanning, SBOM generation, and automated compliance checks into the software delivery lifecycle to ensure the integrity and security of the software supply chain. You will also be responsible for hardening Kubernetes environments, managing deployment security, and supporting continuous monitoring for mission-critical applications. Close collaboration with platform engineering, data engineering, and cybersecurity teams is essential to deliver scalable, compliant, and resilient solutions supporting enterprise AI governance and agentic AI systems.

Requirements

Experience designing, implementing, and maintaining secure CI/CD automation pipelines using GitLab CI/CD, ArgoCD, and OpenShift.
Experience generating and managing SBOMs (Software Bill of Materials) for all deployed applications
Experience with automating compliance checks and reporting to support ATO package creation and continuous monitoring
Experience with hardening Kubernetes clusters and container environments to meet enterprise security standards.
Implement and manage container security solutions, including image signing and verification with Cosign
US Citizen
An active TS/SCI clearance is required

Nice To Haves

Experience with tools such as GitLab CI/CD, Trivy, Grype, Semgrep, Cosign, OpenSCAP, and ArgoCD, as well as familiarity with Kubernetes, OpenShift, and Azure TS network environments
Exposure to automated compliance pipelines, ATO package preparation, and container security best practices will be highly beneficial

Responsibilities

Collaborate with AI, data engineering, platform engineering, and cybersecurity teams to support secure and scalable software delivery
Support the integration of operational AI systems within a modern Hub-and-Spoke architecture
Ensure deployment security and observability across mission applications and enterprise AI governance platforms
Troubleshoot and resolve issues related to CI/CD, security automation, and Kubernetes infrastructure
Contribute to the development and enforcement of DevSecOps best practices and standards
Design, build, and maintain distributed data processing pipelines to support operational AI adoption
Leverage observability platforms and mission-focused operational workflows to ensure continuous delivery and rapid response to evolving security requirements
Integrate security scanning, SBOM generation, and automated compliance checks into the software delivery lifecycle, ensuring the integrity and security of the software supply chain
Harden Kubernetes environments, manage deployment security, and support continuous monitoring for mission-critical applications
Collaborate with platform engineering, data engineering, and cybersecurity teams to deliver scalable, compliant, and resilient solutions that support enterprise AI governance and agentic AI systems