Principal DevSecOps / Platform Engineer

General Dynamics Information Technology
Indianapolis, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 154K

Job location

Remote
Indianapolis, United States of America

Tech stack

Artificial Intelligence
Automation of Tests
Configuration Management
Code Generation
Code Review
Continuous Integration
Linux
DevOps
Programming Tools
Github
Key Management
Network Connections
Cisco Nexus Switches
Ansible
Azure
Security Assertion Markup Language (SAML)
Shell Script
Software Engineering
Software Factory
Enterprise Software Applications
Okta
Delivery Pipeline
Large Language Models
Prompt Engineering
Gitlab
SC Clearance
Containerization
Gitlab-ci
Git Flow
Kubernetes
Machine Learning Operations
Virtual Agents
Terraform
Oracle Cloud Infrastructure
Data Pipelines
Devsecops
Docker
Jenkins
Static Application Security Testing
Vulnerability Analysis
Dynamic Application Security Testing

Job description

  • 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

Requirements

Do you have experience in Vuls?, Do you have a Bachelor's degree?, 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, * 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, Years of Experience 10 + years of related experience

  • may vary based on technical training, certification(s), or degree

Benefits & conditions

(part of General Dynamics) 3.73.7 out of 5 stars Indiana Remote $113,900 - $154,100 a year, Pulled from the full job description

  • 401(k) matching
  • Paid time off
  • Internal mobility program
  • Career development plan, 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., Travel Required Less than 10% Citizenship U.S. Citizenship Required

Salary and Benefit Information The likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. View information about benefits and our total rewards program.

Our Identity Verification Process As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About the company

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure., We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

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