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Google Cloud Platform DevOps engineer

StratG Inc
Phoenix, AZ Full Time
POSTED ON 3/7/2025
AVAILABLE BEFORE 5/7/2025

Job Details

Google Cloud Platform DevOps engineer

Phoenix, AZ Onsite

11 resumes

Job Description:

  • Must have experience working with builds and deployments of various programing languages like Java, NodeJS, Python. Nice to have experience with dot Net &Go source code.
  • Must have experience with GitHub Actions and GitHub Enterprise Administration.
  • Must have experience working with enterprise standard GitHub workflows & Re-usable workflows
  • Programming Proficiency: Strong programming skills in languages such as Python or Java for automation tasks using any language
  • Demonstrable knowledge of the enterprise Software Development Lifecycle (SDLC), including domain knowledge in one or more of the following
  • Source Control Management (SCM) including Git & GitHub workflows, and the value of DevOps & DevSecOps
  • Experience with DevOps tools (e.g., GitHub Actions, Jenkins) for continuous integration and deployment practices.
  • Manage and maintain GitHub Actions, including self-hosted runners, autoscaling, secure execution environments, and workflow orchestration.
  • Proficiency in managing Kubernetes clusters using tools such as kubectl, Rancher & Helm.
  • Administer, maintain, and monitor the Kubernetes clusters and hardware infrastructure
  • Design and manage the Kubernetes cluster layout, resources, and storage
  • Monitor and optimize Kubernetes resources, such as pods, nodes, and namespaces.

Qualifications:

  • Overall 8 years of experience in GHES administration, with deep expertise in GitHub Actions, self-hosted runners, and microservices architecture.
  • Strong scripting, API integration, and automation skills (GitHub REST/GraphQL APIs, GitHub CLI, Terraform, Ansible, Kubernetes).
  • Experience with GHES upgrade planning, disaster recovery, replication, and internal service optimizations.
  • Cloud expertise (GH Cloud, Google Cloud Platform), containerization (Docker, Kubernetes), and DevOps security best practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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