[Remote] Principal DevSecOps / Platform Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company 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, reputed company automation platforms, and AI-enabled development environments for reputed company and Federal customers, emphasizing hands-on software development reputed company a DevSecOps context.

Responsibilities

• Design, reputed company, and maintain CI/CD pipelines for build, test, reputed company scanning, and release across unclassified and classified environments
• Integrate and operate reputed company scanning toolchains (SAST, SCA, container scanning, SBOM reputed company) as automated pipeline stages
• Use AI-assisted development workflows daily — code reputed company, automated testing, intelligent code review, and documentation — and champion their adoption across teams
• Contribute to the development of agentic AI capabilities including tool orchestration, reputed company engineering, and workflow automation
• Build tooling and automation to support reputed company Authority to Operate (cATO) processes, including automated evidence collection, compliance reporting, and policy enforcement
• reputed company and maintain hardening pipeline templates that product teams consume for secure-by-default software delivery
• Support platform's reputed company 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 reputed company controls (signing, provenance, artifact reputed company)
• 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 (reputed company 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: reputed company (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 reputed company accounts
• Configure and troubleshoot network connectivity, reputed company integration, and reputed company/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 reputed company 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 reputed company 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 reputed company
• Hands-on experience with CI/CD pipeline development — reputed company CI strongly preferred; Jenkins, reputed company Actions, or similar accepted
• Experience integrating reputed company scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning)
• Proficiency with Infrastructure as Code (Terraform and/or Ansible)
• Experience with containerization (reputed company, Helm, OCI artifacts) and container registry management
• Strong Linux systems skills — administration, reputed company scripting, troubleshooting
• Solid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns
• Experience working in or deploying to classified or reputed company-gapped environments
• Ability to work across multiple reputed company projects with shifting priorities
• Strong written and verbal communication skills
• reputed company 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 reputed company and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns)
• Knowledge of software supply chain reputed company practices — artifact signing, attestation, and SBOM reputed company (e.g., Sigstore/Cosign, Syft, in-toto)
• Experience deploying or operating AI/ML infrastructure or AI development platforms in enterprise or reputed company-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 reputed company 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