The Redmond Cloud

Azure DevOps Engineer-IT-$150K-Long Beach, CA

Nigel Frank International US
February 8, 2019
Long Beach, CA
Job Type


The Global leaders in Business Consulting and IT company is looking to add an experienced Azure DevOps Engineer to their growing team! Fast paced environment with tons of interesting benefits and cutting-edge projects with the latest Cloud technology.

They are looking for an Azure DevOps Engineer that is hands-on, responsible for continuous integration, testing, and development of the DevOps pipeline for their extensive client portfolio. This person must have a proven track record in Microsoft related projects.

The ideal candidate will have experience with:

  • Azure Automation
  • Azure DevOps (3+ years)
  • CI/CD
  • Automation experience
  • Migration experience
  • Docker/Kubernetes
  • PowerShell/Chef/Puppet
  • Jenkins/Travis/Git

My client can offer competitive salary of $150K + bonuses, amazing culture and people, PTO/sick leave, full health insurance packages, various certifications, beautiful facilities, access to training and professional development, free lunches, flexibility and much more!

I expect competition for the role to be high, so if you're interested please don't hesitate to get in contact as, if you hesitate, you may miss out on the available interview slots. For more information, or to apply, call McKayla on 972-546-4861 or email an up to date CV to [Click Here to Email Your Resumé]. This company is an EOE.

Key Words: Azure, Infrastructure, Azure DNS, Virtual Machines, Load Balancer, Blob Storage, Traffic Manager, Azure Functions, VPN Gateway, Security Center, Azure Files, Virtual Network, API Apps, Service Fabric, API Management, Logic Apps, RESTful API, Azure PaaS, Microservices, Web Apps, App Insights, .NET, C#, Python, Batch, Azure Automation, ARM, Chef, CI/CD, Terraform, Git, Kubernetes, DevOps, VSTS, PowerShell, Puppet, Ansible, Jenkins, Docker, Octopus Deploy, Azure Data Lake Analytics, Azure Data Factory, Azure Data Lake Storage, HDInsight, SQL Database, Power BI, Machine Learning, Table Storage, SQL Data Warehouse, Data Catalog, Stream Analytics, SQL Server, Business Intelligence

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