Senior Kubernetes Platform Engineer, TS/SCI

Wyetech, LLC

Fort Meade (MD)

On-site

USD 92,000 - 125,000

Full time

5 days ago
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Benefits offered by this job

200 hours PTO annually
SEP IRA with 20% company contribution
Extensive health and life benefits

Job summary

Wyetech, LLC seeks an experienced Kubernetes Platform Software Integration Engineer to maintain and integrate the CASA Compute Environment’s PaaS. The role focuses on Linux-based platform reliability, Kubernetes cluster management, automation, and monitoring using Bash, Python, Docker/Podman, Helm, and IaC tooling.

Ideal candidates have TS/SCI-level awareness, strong scripting skills, and experience with Prometheus, Grafana, and Git for collaboration.

Qualifications

  • Linux administration experience in CLI and troubleshooting
  • Kubernetes cluster administration, configuration, and monitoring
  • Scripting in Bash and Python for automation
  • Containerization with Docker and Podman
  • Experience with Helm for Kubernetes deployments
  • Experience with monitoring tools (Prometheus, Grafana) and Git workflows
  • IaC concepts and automation tooling (Ansible)

Responsibilities

  • Administer and support PaaS Kubernetes clusters on Linux infrastructure
  • Configure, monitor, troubleshoot, and sustain multi-tenant Kubernetes environments
  • Develop automation scripts in Bash and Python
  • Deploy and manage containerized applications using Docker/Podman and Kubernetes
  • Create and maintain Helm charts for services and apps
  • Apply IaC practices using Ansible for configuration management
  • Collaborate with engineers and stakeholders to ensure platform reliability and security

Skills

Linux Admin
Kubernetes
Bash scripting
Python scripting
Docker/Podman
Prometheus
Git
Ansible IaC
CI/CD

Education

Bachelor's degree in CS or related

Tools

Helm
Ansible
Jira/Confluence

Job description

Wyetech, LLC seeks an experienced Kubernetes Platform Software Integration Engineer to maintain and integrate the CASA Compute Environment’s PaaS. The role focuses on Linux-based platform reliability, Kubernetes cluster management, automation, and monitoring using Bash, Python, Docker/Podman, Helm, and IaC tooling.

Ideal candidates have TS/SCI-level awareness, strong scripting skills, and experience with Prometheus, Grafana, and Git for collaboration.

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