Principal DevSecOps – Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Leverage AI-enhanced development tools and frameworks to design, implement, and maintain CI/CD pipelines for building, testing, security scanning, and releasing across both unclassified and classified environments.

• Integrate and manage security scanning toolchains as automated stages within the pipeline.

• Employ AI-assisted development workflows on a daily basis and advocate for their usage across teams.

• Participate in the advancement of agentic AI capabilities, focusing on tool orchestration, prompt engineering, and workflow automation.

• Develop tools and automation to facilitate ongoing Authority to Operate processes.

• Create and maintain hardening pipeline templates for delivering secure software by default.

• Provide support for the platform's security pipeline layer.

• Deploy and manage Kubernetes clusters in classified settings.

• Set up, configure, and assist with AI-driven development tools for both platform users and internal teams.

• Support AI/ML platform infrastructure as part of the comprehensive platform offerings.

• Implement Infrastructure-as-Code for environment provisioning, cluster lifecycle management, and configuration oversight.

• Assist with multi-cluster management and hub/spoke deployment architectures.

• Configure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform users.

• Contribute to the evolution of the platform, including self-service namespaces, developer onboarding, and golden-path templates.

• Maintain and enhance multiple production software factory environments catering to diverse federal clients.

• Contribute to runbooks, operational documentation, and incident response protocols.

⛳️ Requirements

• Bachelor's degree along with 8+ years of experience; alternatively, 12+ years of hands-on experience may substitute for the degree.

• 5+ years of relevant experience in Software Engineering, DevOps / DevSecOps technologies; at least 3 years of hands-on experience with Kubernetes.

• Familiarity with AI-powered development tools utilized in daily engineering activities.

• Practical experience in CI/CD pipeline development, with a strong preference for GitLab CI.

• Experience in integrating security scanning tools into automated pipelines.

• Proficient in Infrastructure as Code (Terraform and/or Ansible).

• Knowledge of containerization (Docker, Helm, OCI artifacts) and managing container registries.

• Strong skills in Linux systems.

• Solid understanding of Git-based workflows.

• Experience in working within or deploying to classified or air-gapped environments.

• Capacity to manage multiple concurrent projects with varying priorities.

• Excellent written and verbal communication abilities.

🏝️ Benefits

• Comprehensive benefits and wellness packages.

• 401K plan with company matching.

• Competitive salary along with paid time off.

• Flexible work weeks where feasible.

• A range of paid time off options, including vacation, sick leave, personal time, holidays, parental leave, military leave, bereavement leave, and jury duty leave.

• GDIT Paid Family Leave program offers up to 160 hours of paid leave in a rolling 12-month period for eligible employees.

• Short-term and long-term disability benefits.

• Life, accidental death, and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.