Principal DevSecOps – Platform Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $113.9k - $154.1k / year

⏰ Full Time

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• 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 as automated pipeline stages • Use AI-assisted development workflows daily 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 processes • Develop and maintain hardening pipeline templates for secure-by-default software delivery • Support platform's security pipeline layer • Deploy and operate Kubernetes clusters in classified environments • Deploy, configure, and support AI-powered development tools for platform consumers and internal team use • Support AI/ML platform infrastructure as part of the broader platform offering • Implement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management • Support multi-cluster management and hub/spoke deployment models • 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

• 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 in daily engineering work • Hands-on experience with CI/CD pipeline development — GitLab CI strongly preferred • Experience integrating security scanning tools into automated pipelines • Proficiency with Infrastructure as Code (Terraform and/or Ansible) • Experience with containerization (Docker, Helm, OCI artifacts) and container registry management • Strong Linux systems skills • Solid understanding of Git-based workflows • 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

🏖️ Benefits

• Comprehensive benefits and wellness packages • 401K with company match • Competitive pay and paid time off • Full flex work weeks where possible • Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement, 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 and long-term disability benefits • Life, accidental death, and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance