Cloud - Azure Infra Engineer
CDK Global- Full Time
- Junior (1 to 2 years)
Candidates should possess 7+ years of experience in system administration (Windows and/or Linux), DevOps and/or software development and IT Operations, 5+ years of project experience migrating and deploying cloud-based solutions, hands-on experience with Terraform or Bicep, ARM Templates and Ansible (or equivalent), 3+ years implementing and supporting Microsoft Azure infrastructure and topologies (or demonstrated experience with AWS or GCP), automation experience with scripting knowledge (PowerShell, Bash, Python, Groovy, etc.), experience with various cloud deployment methodologies, and a strong understanding of cloud ecosystem and leading-edge cloud emerging technologies.
The Lead Azure DevOps Engineer will be responsible for implementing DevOps solutions in Azure, crafting and delivering creative cloud solutions for clients, participating in technical envisioning, technical design, and delivery of assigned projects, working with solution architects to support project efforts from a technical perspective, executing the implementation of designed solutions into client deliverables, assisting with design and deployment of client workloads into Azure, and providing technical expertise and support across Datacenter Transformation, Azure Infrastructure, DevOps and CI/CI pipelines, and Cloud Automation.
Consulting firm optimizing Microsoft Azure usage
3Cloud Solutions helps businesses improve their use of Microsoft Azure, a popular cloud computing platform. They provide consulting services tailored to each client's needs, offering best practices, insights, and hands-on support to help clients maximize Azure's capabilities. 3Cloud stands out from competitors by being a top Microsoft Azure partner, which gives them access to the latest information and resources from Microsoft. They also provide additional materials like eBooks and webinars to keep clients informed about cloud technology. The company's goal is to assist a variety of industries, including manufacturing and data analytics, in modernizing their technology infrastructure and enhancing operational efficiency.