Principal DevSecOps / Platform Engineer
Role details
Job location
Tech stack
Job 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
Requirements
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:
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Education: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience
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Experience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes
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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
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Hands-on experience with CI/CD pipeline development - GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted
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Experience integrating security scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning)
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Proficiency with Infrastructure as Code (Terraform and/or Ansible)
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Experience with containerization (Docker, Helm, OCI artifacts) and container registry management
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Strong Linux systems skills - administration, shell scripting, troubleshooting
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Solid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns
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Experience working in or deploying to classified or air-gapped environments
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Ability to work across multiple concurrent projects with shifting priorities
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Strong written and verbal communication skills
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Security clearance level: Secret Clearance required to start
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Location: Remote with travel up to 10%
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Citizenship: US Citizenship, * Experience with Platform One / Big Bang, Iron Bank baselines, or DoD-hardened Kubernetes distributions
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Familiarity with DoD security and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns)
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Knowledge of software supply chain security practices - artifact signing, attestation, and SBOM generation (e.g., Sigstore/Cosign, Syft, in-toto)
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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)
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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
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may vary based on technical training, certification(s), or degree
Benefits & conditions
(part of General Dynamics) 3.73.7 out of 5 stars Indiana Remote $113,900 - $154,100 a year, Pulled from the full job description
- 401(k) matching
- Paid time off
- Internal mobility program
- Career development plan, At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY Explore a career in software development at GDIT and you'll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation., Travel Required Less than 10% Citizenship U.S. Citizenship Required
Salary and Benefit Information The 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. View information about benefits and our total rewards program.
Our Identity Verification Process As 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.