Responsibilities As a DevOps Engineer in the Data and Analytics organization, you bring technical expertise and a passion for successfully adopting DevOps tools and practices in a Hybrid Cloud environment. You are a problem solver at heart with a passion and drive to innovate and disrupt the current status quo on how to accomplish a task, resulting in automating and optimizing the DevOps workflow.? Key responsibilities of this role, but are not limited to: Serving as a technical team member in the development team, customer engagements, and contributing your?knowledge and expertise towards the projects success. Implementing containerized workflows using technologies such?as Kubernetes, Docker, Ansible, Helm, Jenkins, Travis CI, and other open-source?solutions. Diagnosing environmental issues and introduce/implement technologies to solve them. Staying up-to-date on the latest container platform releases and containerization?techniques. Provision and maintenance of DevOps Infra Required education Bachelor's Degree Required technical and professional expertise Experience in Redhat Openshift with IBM cloud Ansible devloper experience with devops knowledge Experience in Deploy, automate and maintenance of applications in cloud native environment like IBM Cloud/AWS Cloud Platform/Azure Good in building CI/CD pipelines with tekton and Argo CICD Knowledgable in applying security practices/techniques in containerization solutions Experienced with Openshift, Kubenetes, Github, Jenkins, Ansible, Helm Charts, Python, Shell scripts, Travis CI Experience with IaaS, PaaS, and cloud technologies Experience with distributed application concepts and DevOps tools Excellent writing and communication skills Demonstrable troubleshooting and debugging ability General knowledge of web services, HTTP and RESTful services Experience with or knowledge of Agile Software Development methodologies Familiarity with LogDNA/Sysdig/Prometheus for cluster analysis in a Kubernetes environment

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