Core Skills HP Data Governance team, under HP Enterprise Operations manages a data discovery automation platform to support business operations for HP privacy office and cyber security. You will join HP data governance team as a DevOps engineer. job description Responsible for developing managing CI/CD pipelines in ADO. Responsible for writing and managing Terraform Modules to deploy IaC (Infrastructure as Code). Responsible for managing Kubernetes clusters (EKS and AKS) and their components. Responsible for managing and troubleshooting the professional applications running on EKS and AKS clusters in HP Cloud. Responsible for automating any manual process within the infrastructure management. Responsible for Kubernetes upgrades(EKS, AKS) and other components (Argo CD, Karpenter) Education, Experience Skills Bachelors or Master s in computer science, MIS, Engineering, Information Mgmt (preferred). 5 years work experience (minimum), including 2+ years at multi-national companies. 3 years work experience as DevOps Engineer (minimum). Experience with AWS and Azure Cloud environments (mandatory). Experience with either AWS EKS or Azure AKS including proficiency to upgrade Kubernetes versions (mandatory) . Experience with Kubernetes and Terraform (mandatory). Experience with CD tools like ArgoCD with jsonnet(mandatory) Experience with AWS Karpenter(mandatory) Experience with programming languages: Shell scripting, Python Experience with CI/CD pipelines configuration and troubleshooting (Azure DevOps Pipelines - mandatory) Experience with versioning tools such as GIT - mandatory Experience with software development lifecycle methodologies (SCRUM / agile). Experience in working with diverse, multi-cultural teams. Ability to communicate effectively to technical and non-technical audiences. Results orientation, prioritization skills to deliver results in the short and long term (think big, start small, move fast). Ability to develop a collaborative work environment and partner with multiple teams, to achieve common goals. Willing to take over multiple roles and learn new technologies which are required to support the project in the future. E.g., AIML, API development, Data engineer etc.
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