DevOps Cloud Engineer; TS​/SCI Poly

Dev Ops Cloud Engineer (TS/SCI with Poly Required)

Job Category: Software Development

Requisition Number: CLOUD
001899

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• Posted :
  December 24, 2025
• Full-Time
• On-site
• Salary Range : $121,680 USD to $ USD

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

At GCI, we solve the hard problems. As a Dev Ops Cloud Engineer, a typical day will include the following duties:

The Dev Ops Cloud Engineer will architect, build, manage, maintain, and monitor a robust cloud environment featuring Kubernetes clusters for hosting a variety of software development and data processing workloads. The ideal candidate is a hands‐on Dev Ops engineer with significant experience in developing and deploying capabilities to the cloud. They must have strong, firsthand technical expertise in a variety of configuration automation, deployment, and continuous integration technologies and the proven ability to fashion robust solutions that can keep pace with mission.

They must be at ease working in an agile environment with a cross‑functional team. This person should embody a passion for continuous improvement and innovation. In this role, the candidate will deliver containerized applications and services, enhance CI/CD pipelines, orchestrate and monitor workloads, and troubleshoot across Dev, Test, and Prod environments.

• Bachelor's degree in Computer Science, Information Technology, or other related technical
  discipline, or equivalent combination of education, technical certifications, training, and work/military experience
• At least five (5) years of related Kubernetes experience

• Demonstrated experience with cloud platforms like AWS, GCP, or Azure and their associated services.
• Demonstrated experience with container tools, including Docker, Kubernetes, or Rancher
• Proficiency in scripting languages including Python, Bash, and configuration formats like JSON and YAML.
• Demonstrated experience with deploying Kubernetes within an on‑prem or cloud‑based
• Proficiency in utilizing Helm or other automated Kubernetes deployment methods
• Sound knowledge of Linux OS and demonstrated hands‑on experience with Linux‑based systems and shell scripting
• Understanding of PKI, TLS, and X.509 Authentication
• Demonstrated experience with infrastructure‑as‑code environments, large‑scale software
  deployments, and/or monitoring and testing, such as continuous integration and continuous
  delivery (CI/CD)

• Knowledge of monitoring and logging tools like Prometheus, Elastic Search, Logstash, and Kibana
• Understanding of Git Ops principles and tools like Flux and ArgoCD
• Experience in managing and troubleshooting GPU‑based workloads including CUDA
• Familiarity with popular Machine Learning Frameworks like Tensor Flow, PyTorch, and ONNX
• Demonstrated hands‑on experience in programming and software development using Python
• Familiarity with authentication protocols such as OAuth and Keycloak
• Knowledge of container security technologies, such as Claire, Anchore, Rapid7, and/or Neu Vector
• Knowledge of container registry technologies, such as Harbor, ECR, Docker Hub, etc.

• Work with a team to build, automate, and deploy Kubernetes workloads like containerized AI/ML solutions, data processing tools, and software applications to support mission critical
  applications
• Stand up and/or work with the necessary tooling for a robust CI/CD pipeline, to include:
  Helm, Kubernetes, Harbor, Nexus, and Ansible
• Collaborate cross‑functionally with systems engineers, software engineers, data scientists,
  analyst, project managers and other engineering groups
• Assist developers, Dev Ops engineers, and system administrators with understanding of
  Kubernetes…