Principal DevSecOps / Platform Engineer

Principal DevSecOps / Platform Engineer
 

We 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.

The 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.

MEANINGFUL WORK AND PERSONAL IMPACT

• 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

WHAT YOU’LL NEED TO SUCCEED - REQUIRED SKILLS
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

PREFERRED QUALIFICATIONS

• 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

GDIT IS YOUR PLACE
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.