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  At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.    Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.    Join us to drive positive, lasting change that moves missions and the government forward!     The work As a DevSecOps Engineer, you will play a pivotal role in advancing operational AI adoption by implementing and maintaining secure, automated CI/CD pipelines within a modern Hub-and-Spoke architecture Key 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 You will leverage observability platforms and mission-focused operational workflows to ensure continuous delivery and rapid response to evolving security requirements Your expertise will contribute directly to the integration of AI, DevSecOps, and cybersecurity practices, enabling the organization to accelerate software delivery while maintaining robust security and compliance standards Your responsibilities will include integrating security scanning, SBOM generation, and automated compliance checks into the software delivery lifecycle, ensuring the integrity and security of the software supply chain You will be tasked with hardening Kubernetes environments, managing deployment security, and supporting continuous monitoring for mission-critical applications The position requires close collaboration with platform engineering, data engineering, and cybersecurity teams to deliver scalable, compliant, and resilient solutions that support enterprise AI governance and agentic AI systems Here’s what you need: 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 Nice to have:   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 Experience integrating security scanning tools (Trivy, Grype, Semgrep, OpenSCAP) into automated pipelines to ensure software supply chain integrity   Eligibility requirements: US Citizen  An active TS/SCI clearance is required     As required by loc