Note: The job is a remote job and is open to candidates in USA. General Dynamics Information Technology is a global technology and professional services company focused on delivering consulting, technology, and mission services to U.S. government agencies. They are seeking a Principal DevSecOps / Platform Engineer to build and operate software factories, security automation platforms, and AI-enabled development environments for Department of Defense and Federal customers, emphasizing hands-on software development within a DevSecOps context.
Responsibilities
- 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
- 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
Skills
- 8 + years of related experience
- US Citizenship Required
- Education: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on 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%
- 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
Benefits
- A variety of medical plan options, some with Health Savings Accounts
- Dental plan options
- A vision plan
- A 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match
- Full flex work weeks where possible
- A variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
- 15 days of paid leave per calendar year to be used for vacations, personal business, and illness
- An additional 10 paid holidays per year
- Paid leave and paid holidays are prorated based on the employee’s date of hire
- The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
Company Overview
General Dynamics Information Technology is an IT consulting company that specializes in cyber security, AI, and quantum computing. It is a sub-organization of General Dynamics. It was founded in 1999, and is headquartered in Falls Church, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.gdit.com/.