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Experience using RedHat technologies is highly desired - Kubernetes, OpenStack, OpenShift. o Experience using RedHat technologies is highly desired - Kubernetes, OpenStack, OpenShift. Kubernetes/ OpenStack/ Openshift.
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The candidate is expected to have experience with Jenkins, Ansible, Ansible Tower, OpenStack, Docker, Kafka, Hadoop Spark, automation, software engineering, Jira, Confluence, and Power BI reporting.
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Experience with virtualization platforms such as VMware, Nutanix or OpenStack. Knowledge of PaaS, IaaS, Kubernetes, Docker, Rancher, GIT, Repository Management, Server Compute, SAN Storage, Virtualization, IP Networks, Data Center Operations, Linux and Windows Systems Administration.
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We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication.
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Hands-on engineer or coder with extensive experience in Linux, Python, Cloud (OpenStack, AWS, IaC, CaC, SaC), CI/CD tool stacks and configurations, Kubernetes implementation and planning for legacy applications, and other open-source technologies.
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Utilize advanced knowledge of cloud technologies, including AWS, Azure, OpenStack, Docker, Kubernetes, Ansible, Chef or Terraform. Utilize advanced knowledge of cloud technologies, including AWS, Azure, OpenStack, Docker, Kubernetes, Ansible, Chef or Terraform.
$158,200 - $237,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms (AWS, GCP, Openstack), CI/CD, and Agile methodologies. The Senior Quality Assurance Test Automation Analyst within Enterprise Systems Department (ESD) primary responsibility will be to build a test automation infrastructure and Framework that leverages DevSecOps, Continuous.
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Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack, and Docker. Experience with Infrastructure as Code and Configuration Management Tools: Terraform, CloudFormation, CDK, Ansible.
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I.E., Terraform, Ansible, Chef, GitLab using one or more programming languages [I.E., Python, Perl, etc] on bare metal and virtual environments [I.E., AWS, OpenStack, Proxmox, Azure] I.E., Terraform, Ansible, Chef, GitLab using one or more programming languages [I.E., Python, Perl, etc] on bare metal and virtual environments [I.E., AWS, OpenStack, Proxmox, Azure.
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Demonstrated experience planning and implementing Infrastructure as a Service (iaaS) andPlatform as a Service (Paas) using tools like OpenStack, Eucalyptus, OpenShift, and Kubernetes. Demonstrated experience using tools like OpenStack, Eucalyptus, OpenShift, and Kubernetes.
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Looking for someone who is an expert in DevOps with CaaS - Expert in Kubernetes, Docker, Ranker, Terraform - Migrations and standups in CaaS - Great understanding on pipelines and how to do that (no idea what this was lol) - Must be able to come in and hit the ground running - Wants them to be more DevOps focused, will work closely with Brett for all the DevOps roles.
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Preferred: Direct administration experience with Kubernetes (OpenShift and EKS), OpenStack, and/or Red Hat Enterprise Linux (RHEL) Test, validate, and deploy patches and security updates across all our OpenShift and OpenStack infrastructure in line with our vulnerability management SLAs.
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Experience with UX/UI testing and browser test automation (Selenium) and performance/load testing (LoadRunner, JMeter, Locust). Experience with unit testing, test case development, automated regression testing, and test frameworks (pytest, Selenium, Playwright, Cucumber, TestNG, JBehave, Tosca, SoapUI, etc.
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Experience in Amazon Web Services, Microsoft Azure, Google Cloud and OpenStack. Worked with Concourse, Spinnaker, Jenkins, Bamboo, TeamCity or other Continuous Integration tools. Experience in Amazon Web Services, Microsoft Azure, Google Cloud and OpenStack.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark. Experience with a relevant programming language, like Python, R, or Rust. Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP.
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