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TC
Tata Consultancy Services Limited
DevOps Engineer
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Based on Arizona data
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What they do
A DevOps Engineer works with software engineers and system operators to develop, build and install new technology systems and manage code releases. Participates in strategic project planning; tracks changes in projects and guides project team work as new systems are deployed. Identifies and fixes problems and provides system maintenance.
$128,811 / year median in Arizona
+8% projected growth
Job Description
Role - DevOps Engineer Experience Required -7+ Years Must Have Technical/Functional Skills CI/CD; Docker; Git (GitHub, GitLab, BitBucket, SVN); Java; Node / Node JS; Python; Go; AWS; GCP; Kubernetes; Google Kubernetes Engine (GKE) Roles & Responsibilities
- 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.
- Experience working with Self-hosted runners on GitHub Enterprise
- Must have experience with creation of GitHub Apps at the enterprise
- 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- Experience working with GitHub Advance Security Tooling (GHAS)
- 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.