Principal Software Engineer – AI & Software Factory Engineering

GDIT

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Build agentic AI capabilities including tool orchestration and LLM application development
  • Develop software that automates continuous Authority to Operate (cATO)
  • Build secure-by-default CI/CD pipeline products with integrated security scanning
  • Extend platforms with self-service capabilities and AI development tools
  • Ship and support production on hardened Kubernetes in CUI/IL5 environments

Requirements

  • Bachelor's degree and 8+ years experience (or 12+ years hands-on)
  • 5+ years in Software Engineering or DevOps/DevSecOps
  • 3+ years hands-on experience with Kubernetes
  • Proficiency in Python, Go, or similar
  • Experience with CI/CD pipeline development (GitLab CI preferred)
  • Containerization (Docker, Helm) and Infrastructure as Code (Terraform/Ansible)
  • Experience with classified or air-gapped environments
  • US Citizenship and ability to obtain Secret clearance

Preferred Qualifications

  • Experience with agentic AI frameworks or LLM APIs
  • Knowledge of Platform One, Big Bang, or Iron Bank
  • Understanding of DoW security frameworks (NIST 800-53, RMF, cATO)
  • Software supply chain security practices
  • Certified Kubernetes Application Developer (CKAD) certification

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401(k) with company match
  • Paid time off including vacation, sick, and personal leave
  • Paid parental and military leave
  • Career growth and learning opportunities

Skills & tools

PythonGoKubernetes

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 018+ years experience
  2. 025+ years Software Engineering or DevOps
  3. 033+ years Kubernetes
  4. 04Python or Go
  5. 05GitLab CI/CD
  6. 06Containerization
  7. 07Infrastructure as Code
  8. 08US Citizenship
  9. 09Ability to obtain Secret clearance
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