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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal DevSecOps / Platform Engineer - **Company:** General Dynamics Information Technology - **Location:** Indianapolis, IN, United States (Remote available) - **Experience:** Experienced - **Salary:** $113,900.0 - $154,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Configuration Management, Code Generation, Code Review, Continuous Integration, Linux, DevOps, Programming Tools, Github, Key Management, Network Connections, Cisco Nexus Switches, Ansible, Azure Machine Learning, Security Assertion Markup Language (SAML), Shell Script, Software Engineering, Software Factory, Enterprise Software Applications, Okta, Delivery Pipeline, Large Language Models, Prompt Engineering, Gitlab, SC Clearance, Containerization, Gitlab-ci, Git Flow, Kubernetes, Machine Learning Operations, Virtual Agents, Terraform, Oracle Cloud Infrastructure, Data Pipelines, Devsecops, Docker, Jenkins, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing - **Published:** June 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3496fa9ad867de57 ## About the Role Do you have experience in Vuls?, Do you have a Bachelor's degree?, Bring your engineering expertise along with a drive for innovation to GDIT. The DevOps Engineer Principal must have: * Education: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience * Experience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes * Experience using AI-powered development tools (code assistants, LLM-based tooling, AI-augmented workflows) in daily engineering work - and enthusiasm for pushing their adoption forward * Hands-on experience with CI/CD pipeline development - GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted * Experience integrating security scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning) * Proficiency with Infrastructure as Code (Terraform and/or Ansible) * Experience with containerization (Docker, Helm, OCI artifacts) and container registry management * Strong Linux systems skills - administration, shell scripting, troubleshooting * Solid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns * Experience working in or deploying to classified or air-gapped environments * Ability to work across multiple concurrent projects with shifting priorities * Strong written and verbal communication skills * Security clearance level: Secret Clearance required to start * Location: Remote with travel up to 10% * Citizenship: US Citizenship, * Experience with Platform One / Big Bang, Iron Bank baselines, or DoD-hardened Kubernetes distributions * Familiarity with DoD security and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns) * Knowledge of software supply chain security practices - artifact signing, attestation, and SBOM generation (e.g., Sigstore/Cosign, Syft, in-toto) * Experience deploying or operating AI/ML infrastructure or AI development platforms in enterprise or air-gapped environments (model serving, GPU scheduling on K8s, enterprise code-assistant rollout) * Experience supporting growth activities - contributing to proposals, RFI responses, or technical briefings, and engaging customers as a technical SME, Years of Experience 10 + years of related experience * may vary based on technical training, certification(s), or degree ## Description * Work across a broad portfolio rather than a single narrow program - variety and exposure to cutting-edge problems in government software delivery * Significant investment in AI, automation, and modern platform engineering - not legacy maintenance * Small, senior team where individual contributions have outsized impact * Opportunity to shape how the our customers' missions are built and delivered using secure software at scale * Exposure to Growth activities (proposals, customer engagements) for engineers who want to develop business acumen alongside technical depth KEY RESPONSIBILITIES DevSecOps Engineering - Primary Focus Utilize AI-assisted Development tools and frameworks to: * Design, develop, and maintain CI/CD pipelines for build, test, security scanning, and release across unclassified and classified environments * Integrate and operate security scanning toolchains (SAST, SCA, container scanning, SBOM generation) as automated pipeline stages * Use AI-assisted development workflows daily - code generation, automated testing, intelligent code review, and documentation - and champion their adoption across teams * Contribute to the development of agentic AI capabilities including tool orchestration, prompt engineering, and workflow automation * Build tooling and automation to support continuous Authority to Operate (cATO) processes, including automated evidence collection, compliance reporting, and policy enforcement * Develop and maintain hardening pipeline templates that product teams consume for secure-by-default software delivery * Support platform's security pipeline layer - build, test, and release process for software packages that include both application code and runtime platform components * Implement and enforce software supply chain security controls (signing, provenance, artifact integrity) * Troubleshoot build and deployment failures, support development teams consuming shared pipeline services Platform Engineering * Deploy and operate Kubernetes clusters (Big Bang / Iron Bank baseline) in classified (CUI/IL5) environments * Deploy, configure, and support AI-powered development tools (GitLab Duo, LLM-based code assistants, agentic AI frameworks) for platform consumers and internal team use * Support AI/ML platform infrastructure (model serving, GPU workloads, data pipelines) as part of the broader platform offering * Stand up and maintain shared platform services: Harbor (container registry), Nexus (artifact repository), Vault (secrets management), ArgoCD (GitOps deployment) * Implement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management (Terraform, Ansible) * Support multi-cluster management and hub/spoke deployment models - build in shared services, deploy into downstream accounts * Configure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform consumers * Contribute to platform evolution including self-service namespaces, developer onboarding, and golden-path templates * Maintain and improve multiple production software factory environments serving diverse federal customers * Contribute to runbooks, operational documentation, and incident response procedures ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [#90DaysOfDevOps - 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