DevOps Engineer- (F2F Interview) Job at TekDoors Inc., Phoenix, AZ

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  • TekDoors Inc.
  • Phoenix, AZ

Job Description

Job Title: DevOps Engineer

Location: Phoenix, AZ

Duration: 12+ Months

Skills :

Kubernetes Administration experience, with some level of GitHub knowledge

Qualifications :

• Overall 6+ 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, GCP), containerization (Docker, Kubernetes), and DevOps security best practices.

What's Required:

• 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.

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