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Experience with Azure cloud services, Microservices, Kubernetes, IAC, Github actions, Terraform, and API Management Systems, ensuring efficient deployment, management, and scaling of backend applications preferred.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Create automated orchestration and deployment solutions using Puppet, Terraform, Docker and Kubernetes Write and support scripts and automation using Python, Ruby, Bash, JavaScript and Java.
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Develop automated CI/CD build/deployment pipelines using Cloudbees/Jenkins, Artifactory, OpenShift/Kubernetes, Docker, Ansible and Bitbucket. - Experience designing and implementing application deployment pipelines and developing software in a containerized environment with Kubernetes and Docker (OpenShift experience is a plus.
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Experience with containerization (Docker, Kubernetes, AWS EKS, AWS ECS, Fargate) Experience working with cloud deployment languages (CloudFormation, Terraform, Chef, Ansible) 3+ years' experience developing full stack solutions and utilizing software build and deployment tools (Jenkins, Bamboo, Git, Bitbucket, CodeCommit.
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Kubernetes/OpenShift administration (Installation, Patching, migration, application on-boarding, SSL certificates deployment, configuring ingress controllers, integrating with load balancers, storage solutions, container registry, CI/CD tools, integrating with identity management tools, integrating with vaults, etc.
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Experience in Azure Cloud & DevOps with Application Deployment on cloud, and on experience of Azure cloud services, Azure Kubernetes Services, Azure app, Azure event Grid, ADF, Fluency with Azure Cosmos DB or any relational databases.
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Expertise with either AWS, Azure, and Services/Tooling such as or like: Terraform, Packer, Docker, Kubernetes, Helm, Prometheus, Grafana, Fluent Bit, Istio (Service Mesh) 5+ years of Cloud IaC with deep expertise in Terraform/CloudFormation & Ansible/Salt deployment.
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You will be responsible for end-to-end design, deployment, optimization and scaling of OpenShift/Kubernetes platform and related containerized workloads. One of the following Certifications: Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) Red Hat Certified Engineer (RHCE) Red Hat Certified Architect (RHCA) Docker Certified Associate (DCA) Hashicorp Terraform Associate Certification.
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Experience with CloudFormation, Terraform, Azure Resource Manager, or GCP Cloud Deployment Manager Templates. Expertise in container and DevOps technologies such as Kubernetes, Jenkins, Docker, and OpenShift.
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Microservices, container-based platforms and related deployment technologies to include Kubernetes, Docker, and Serverless Functions. Design and development of Azure DevOps CI/CD pipelines for Azure Data Factory, Azure Databricks, Azure SQL, and Azure Synapse.
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Design, test and implement continuous integration and deployment pipelines using Gitlab, Jenkins, Harness , Apigee SaaS, Apigee Hybrid, Terraform, Nexus, Docker and Kubernetes Google Cloud Platform, Pipeline etc.
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Willingness and ability to take a code first approach to fully automate the deployment and management of cloud infrastructure and environments using Terraform, Chef, Azure DevOps, Azure Policy and other tools.
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General knowledge of Azure Kubernetes Service or Native Kubernetes including installation, troubleshooting deployments, nodes, pods, certificates and RBAC. Azure Virtual Machines, Azure Kubernetes Service, Blob Storage, Azure DNS, Virtual Networks, Redis Cache and Azure App Service, Azure Kubernetes Service.
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Experience with the following technologies: Kubernetes / Docker / OpenShift Advanced skills with Linux based environments and bash shell scripting for server deployment and administration Java / Python / Perl XML / JSON / SQL Atlassian management/software development tools: Jira / Git / Bitbucket / Crucible / Confluence Experience using and administering Gitlab Micro services architectures Gov and non-Gov AWS cloud environments.
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Experience with databases like ElasticSearch, InfluxDB, MongoDB, frontend frameworks like Bootstrap or Tailwind, and CI/CD deployment in GCP. Ubuntu Linux, Kubernetes, Docker, Terraform, AWS & Google Cloud, Sentry, Datadog.
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