{"schemaVersion":"jobsearcher.job.v1","id":"f0c60e27fb95f5554643a479","url":"https://jobsearcher.com/jobs/f0c60e27fb95f5554643a479","canonicalUrl":"https://jobsearcher.com/jobs/f0c60e27fb95f5554643a479","title":"Principal DevSecOps / Platform Engineer","description":"Your Impact\nOwn your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.\nJob Description\nPrincipal DevSecOps / Platform Engineer\n\nWe are seeking a developer-focused DevSecOps engineer to join a high-performing team building and operating software factories, security automation platforms, and AI-enabled development environments for Department of Defense and Federal customers. This role emphasizes hands-on software development within a DevSecOps context - you will write production code, build tooling, and develop applications, not just configure pipelines.\nThe team supports multiple concurrent internal R&D efforts and customer delivery engagements across defense and federal programs. You will contribute to a range of workstreams including agentic AI application development, software factory platform enhancements, security and compliance automation, and secure software delivery for classified environments.\nMEANINGFUL WORK AND PERSONAL IMPACT\nWork across a broad portfolio rather than a single narrow program - variety and exposure to cutting-edge problems in government software delivery\nSignificant investment in AI, automation, and modern platform engineering - not legacy maintenance\nSmall, senior team where individual contributions have outsized impact\nOpportunity to shape how the our customers' missions are built and delivered using secure software at scale\nExposure to Growth activities (proposals, customer engagements) for engineers who want to develop business acumen alongside technical depth\nKEY RESPONSIBILITIES\nDevSecOps Engineering - Primary Focus\nUtilize AI-assisted Development tools and frameworks to:\nDesign, develop, and maintain CI/CD pipelines for build, test, security scanning, and release across unclassified and classified environments\nIntegrate and operate security scanning toolchains (SAST, SCA, container scanning, SBOM generation) as automated pipeline stages\nUse AI-assisted development workflows daily — code generation, automated testing, intelligent code review, and documentation — and champion their adoption across teams\nContribute to the development of agentic AI capabilities including tool orchestration, prompt engineering, and workflow automation\nBuild tooling and automation to support continuous Authority to Operate (cATO) processes, including automated evidence collection, compliance reporting, and policy enforcement\nDevelop and maintain hardening pipeline templates that product teams consume for secure-by-default software delivery\nSupport platform's security pipeline layer — build, test, and release process for software packages that include both application code and runtime platform components\nImplement and enforce software supply chain security controls (signing, provenance, artifact integrity)\nTroubleshoot build and deployment failures, support development teams consuming shared pipeline services\nPlatform Engineering\nDeploy and operate Kubernetes clusters (Big Bang / Iron Bank baseline) in classified (CUI/IL5) environments\nDeploy, configure, and support AI-powered development tools (GitLab Duo, LLM-based code assistants, agentic AI frameworks) for platform consumers and internal team use\nSupport AI/ML platform infrastructure (model serving, GPU workloads, data pipelines) as part of the broader platform offering\nStand up and maintain shared platform services: Harbor (container registry), Nexus (artifact repository), Vault (secrets management), ArgoCD (GitOps deployment)\nImplement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management (Terraform, Ansible)\nSupport multi-cluster management and hub/spoke deployment models — build in shared services, deploy into downstream accounts\nConfigure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform consumers\nContribute to platform evolution including self-service namespaces, developer onboarding, and golden-path templates\nMaintain and improve multiple production software factory environments serving diverse federal customers\nContribute to runbooks, operational documentation, and incident response procedures\nWHAT YOU’LL NEED TO SUCCEED - REQUIRED SKILLS\nBring your engineering expertise along with a drive for innovation to GDIT. The DevOps Engineer Principal must have:\n\nEducation: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience\nExperience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes\nExperience using AI-powered development tools (code assistants, LLM-based tooling, AI-augmented workflows) in daily engineering work — and enthusiasm for pushing their adoption forward\nHands-on experience with CI/CD pipeline development — GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted\nExperience integrating security scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning)\nProficiency with Infrastructure as Code (Terraform and/or Ansible)\nExperience with containerization (Docker, Helm, OCI artifacts) and container registry management\nStrong Linux systems skills — administration, shell scripting, troubleshooting\nSolid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns\nExperience working in or deploying to classified or air-gapped environments\nAbility to work across multiple concurrent projects with shifting priorities\nStrong written and verbal communication skills\nSecurity clearance level: Secret Clearance required to start\nLocation: Remote with travel up to 10%\nCitizenship: US Citizenship\nPREFERRED QUALIFICATIONS\nExperience with Platform One / Big Bang, Iron Bank baselines, or DoD-hardened Kubernetes distributions\nFamiliarity with DoD security and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns)\nKnowledge of software supply chain security practices — artifact signing, attestation, and SBOM generation (e.g., Sigstore/Cosign, Syft, in-toto)\nExperience 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)\nExperience supporting growth activities — contributing to proposals, RFI responses, or technical briefings, and engaging customers as a technical SME\n\nGDIT IS YOUR PLACE\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\n\nGrowth: AI-powered career tool that identifies career steps and learning opportunities\nSupport: An internal mobility team focused on helping you achieve your career goals\nRewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off\nCommunity: Award-winning culture of innovation and a military-friendly workplace\n\nOWN YOUR OPPORTUNITY\nExplore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.\nWork Requirements\nYears of Experience\n10 + years of related experience\nmay vary based on technical training, certification(s), or degree\nCertification\nTravel Required\nLess than 10%\nCitizenship\nU.S. Citizenship Required\nSalary and Benefit Information\nThe likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\nView information about benefits and our total rewards program.\nOur Identity Verification Process\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\nAbout Our Work\nWe are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics Information Technology","rawCompany":"generaldynamicsinformationtechnology","city":"Indiana","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:25:16.804Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal DevSecOps / Platform Engineer","description":"Your Impact\nOwn your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.\nJob Description\nPrincipal DevSecOps / Platform Engineer\n\nWe are seeking a developer-focused DevSecOps engineer to join a high-performing team building and operating software factories, security automation platforms, and AI-enabled development environments for Department of Defense and Federal customers. This role emphasizes hands-on software development within a DevSecOps context - you will write production code, build tooling, and develop applications, not just configure pipelines.\nThe team supports multiple concurrent internal R&D efforts and customer delivery engagements across defense and federal programs. You will contribute to a range of workstreams including agentic AI application development, software factory platform enhancements, security and compliance automation, and secure software delivery for classified environments.\nMEANINGFUL WORK AND PERSONAL IMPACT\nWork across a broad portfolio rather than a single narrow program - variety and exposure to cutting-edge problems in government software delivery\nSignificant investment in AI, automation, and modern platform engineering - not legacy maintenance\nSmall, senior team where individual contributions have outsized impact\nOpportunity to shape how the our customers' missions are built and delivered using secure software at scale\nExposure to Growth activities (proposals, customer engagements) for engineers who want to develop business acumen alongside technical depth\nKEY RESPONSIBILITIES\nDevSecOps Engineering - Primary Focus\nUtilize AI-assisted Development tools and frameworks to:\nDesign, develop, and maintain CI/CD pipelines for build, test, security scanning, and release across unclassified and classified environments\nIntegrate and operate security scanning toolchains (SAST, SCA, container scanning, SBOM generation) as automated pipeline stages\nUse AI-assisted development workflows daily — code generation, automated testing, intelligent code review, and documentation — and champion their adoption across teams\nContribute to the development of agentic AI capabilities including tool orchestration, prompt engineering, and workflow automation\nBuild tooling and automation to support continuous Authority to Operate (cATO) processes, including automated evidence collection, compliance reporting, and policy enforcement\nDevelop and maintain hardening pipeline templates that product teams consume for secure-by-default software delivery\nSupport platform's security pipeline layer — build, test, and release process for software packages that include both application code and runtime platform components\nImplement and enforce software supply chain security controls (signing, provenance, artifact integrity)\nTroubleshoot build and deployment failures, support development teams consuming shared pipeline services\nPlatform Engineering\nDeploy and operate Kubernetes clusters (Big Bang / Iron Bank baseline) in classified (CUI/IL5) environments\nDeploy, configure, and support AI-powered development tools (GitLab Duo, LLM-based code assistants, agentic AI frameworks) for platform consumers and internal team use\nSupport AI/ML platform infrastructure (model serving, GPU workloads, data pipelines) as part of the broader platform offering\nStand up and maintain shared platform services: Harbor (container registry), Nexus (artifact repository), Vault (secrets management), ArgoCD (GitOps deployment)\nImplement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management (Terraform, Ansible)\nSupport multi-cluster management and hub/spoke deployment models — build in shared services, deploy into downstream accounts\nConfigure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform consumers\nContribute to platform evolution including self-service namespaces, developer onboarding, and golden-path templates\nMaintain and improve multiple production software factory environments serving diverse federal customers\nContribute to runbooks, operational documentation, and incident response procedures\nWHAT YOU’LL NEED TO SUCCEED - REQUIRED SKILLS\nBring your engineering expertise along with a drive for innovation to GDIT. The DevOps Engineer Principal must have:\n\nEducation: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience\nExperience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes\nExperience using AI-powered development tools (code assistants, LLM-based tooling, AI-augmented workflows) in daily engineering work — and enthusiasm for pushing their adoption forward\nHands-on experience with CI/CD pipeline development — GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted\nExperience integrating security scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning)\nProficiency with Infrastructure as Code (Terraform and/or Ansible)\nExperience with containerization (Docker, Helm, OCI artifacts) and container registry management\nStrong Linux systems skills — administration, shell scripting, troubleshooting\nSolid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns\nExperience working in or deploying to classified or air-gapped environments\nAbility to work across multiple concurrent projects with shifting priorities\nStrong written and verbal communication skills\nSecurity clearance level: Secret Clearance required to start\nLocation: Remote with travel up to 10%\nCitizenship: US Citizenship\nPREFERRED QUALIFICATIONS\nExperience with Platform One / Big Bang, Iron Bank baselines, or DoD-hardened Kubernetes distributions\nFamiliarity with DoD security and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns)\nKnowledge of software supply chain security practices — artifact signing, attestation, and SBOM generation (e.g., Sigstore/Cosign, Syft, in-toto)\nExperience 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)\nExperience supporting growth activities — contributing to proposals, RFI responses, or technical briefings, and engaging customers as a technical SME\n\nGDIT IS YOUR PLACE\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\n\nGrowth: AI-powered career tool that identifies career steps and learning opportunities\nSupport: An internal mobility team focused on helping you achieve your career goals\nRewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off\nCommunity: Award-winning culture of innovation and a military-friendly workplace\n\nOWN YOUR OPPORTUNITY\nExplore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.\nWork Requirements\nYears of Experience\n10 + years of related experience\nmay vary based on technical training, certification(s), or degree\nCertification\nTravel Required\nLess than 10%\nCitizenship\nU.S. Citizenship Required\nSalary and Benefit Information\nThe likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\nView information about benefits and our total rewards program.\nOur Identity Verification Process\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\nAbout Our Work\nWe are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-07-27T13:25:16.804Z","dateModified":"2026-07-27T13:25:16.804Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Indiana","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f0c60e27fb95f5554643a479"},"url":"https://jobsearcher.com/jobs/f0c60e27fb95f5554643a479"}}