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General Dynamics Information Technology Logo

Cloud Software Engineer

General Dynamics Information Technology

$131,750 - $178,250
Dec 13, 2025
Reston, VA, US
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GDIT is seeking a Cloud Software Engineer to ensure program delivery is on schedule with technical delivery of a large Cloud Services government contract in Reston, VA

Requirements

  • Agile Methodology
  • C++ Programming Language
  • Cloud Development
  • Python (Programming Language)
  • Certified Kubernetes Application Developer (CKAD) Certification or demonstrate equivalent practical Kubernetes experience
  • Certified Ansible Enterprise Automation (EX467) or demonstrate equivalent practical Ansible experience
  • Experience with both Kubernetes and Ansible tools
  • Experience deploying/debugging Kubernetes microservices using Docker, Docker-compose, or Kubernetes
  • Experience writing Docker/Bazel files to build a custom, lightweight open container image (OCI)
  • Experience developing backend for python web applications that interact with databases via API
  • Familiarity with Kubernetes customer resource objects (CRs)

Responsibilities

  • Develop Frontends and Backends for Customer Cloud Fleet Management greenfield projects
  • Work extensively with customer engineering and cloud engineering teams to survey existing pain points on customer products and propose solutions & improvements
  • Participate in and lead architecture and engineering designs with peers and stakeholders, and exercise technical judgment (e.g., deciding between available technologies)
  • Review code and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency)

Other

  • US Citizenship Required: Yes
  • Education: Bachelors Degree in Computer Science/Engineering or related discipline or equivalent practical work experience
  • 10 + years of related experience
  • Excellent communication and interpersonal skills, with the ability to work effectively in a fast-paced, collaborative environment
  • Strong analytical and critical-thinking skills to asses complex technical challenges and develop scalable, efficient solutions