Job Description :
Job Title: Tanzu Platform Services Engineer Location: Des Moines, IA Duration: 3 Months Note Selected candidates need to be on board Onsite. They need to pick their on- boarding documents and equipment manually. No expenses will be paid for travelling Job Description: Client looking to modernize its infrastructure and development processes by partnering with Tanzu (Formerly known as Pivotal The individuals selected will be partnered up with individuals from Tanzu to help develop the Clients platform and maintain the platform after deployment. Enterprise adoption of cloud computing has precipitated a shift in the application architecture. New software patterns and frameworks require a new application runtime to support continuous delivery, scalability, resiliency, and flexibility. As the State of Iowa embraces cloud computing, application modernization, and new application initiatives, VMware's Tanzu Application Service (formerly Pivotal Cloud Foundry) will provide developers and operators a consistent, automated runtime experience for modern Java, .NET, and Node applications. Tanzu Application Service (TAS) will sit alongside the Tanzu Kubernetes Grid (TKGi), providing the State the ability to host application workloads on their fit-for-purpose runtimes. It will be able to host any modern application workload and can be ported between the on premise and Azure cloud deployments. What you'll be doing: Driving platform adoption by working with application teams to embrace modern practices around developer workflow, application enhancements, build and packaging, application lifecycle, and observability Deploying and operationalizing platforms built on Kubernetes by designing for storage integration, container networking, service routing, observability, and platform security REQUIRED SKILLS / EXPERIENCE 5+ years' experience with design and implementation of distributed systems architectures on private or public cloud infrastructure 2+ years of experience designing container-based solutions using Kubernetes Familiarity with programming concepts and general SDLC practices Robust proficiency in Windows, Linux & CLI with 1-2 years of experience in VM infrastructure Understanding of the latest cloud trends and best practices, including Cloud-Native, DevOps, and infrastructure-as-code principles Experience in a customer-facing capacity, support, or consulting role Strong written and oral communication skills PREFERRED SKILLS / EXPERIENCE THAT WILL SET ONE CANDIDATE APART FROM THE OTHER Experience with cloud service provider offerings like Microsoft Azure or Amazon Web Services (AWS) or Google Cloud Platform (GCP) The ideal candidate will have familiarity with virtualization technologies such as Hyper-V, vSphere, Docker, and vCenter. It would be useful if you had experience implementing continuous integration (CI) or continuous development (CD) pipeline Ideally, you have some experience using logging and monitoring tools like Prometheus, Grafana, or Kibana Experience with tools that help manage Kubernetes like Helm Required/Desired Skills Skill Matrix Skill Matrix Technology Years of Experience Overall IT Experience Communication (1 - 10) experience with design and implementation of distributed systems architectures on private or public cloud infrastructure experience designing container-based solutions using Kubernetes Familiarity with programming concepts and general SDLC practices Robust proficiency in Windows, Linux & CLI with 1-2 years of experience in VM infrastructure Understanding of the latest cloud trends and best practices, including Cloud-Native, DevOps and infrastructure-as-code principles Experience in a customer-facing capacity, support, or consulting role Strong written and oral communication skills Experience with cloud service provider offerings like Microsoft Azure or Amazon Web Services (AWS) or Google Cloud Platform (GCP) Familiarity with virtualization technologies such as Hyper-V, vSphere, Dockers, and vCenter. experience implementing a continuous integration (CI) or continuous development (CD) pipeline experience using logging and monitoring tools like Prometheus, Grafana, or Kibana Experience with tools that help manage Kubernetes like HELM
             

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