Azure DevOps Engineer

VDart Inc is the leading global provider of digital solutions, products and talent management company providing digital technology solutions in Automotive, Manufacturing, Energy & Utilities and Healthcare Industries. Led by a strong global team located across 10 countries including USA, Canada, Mexico, Brazil, UK, Japan, Australia & India. We are currently accepting applications from staffing firms for our Preferred Partner Program, where we align niche staffing firms with specific verticals based on their strengths. To apply, please visit: https://www.vdart.com/suppliers/ Azure DevOps Engineer Alpharetta, GA Contract Experience & Qualifications: This is an opportunity for an experienced Microsoft Azure DevOps Team Lead to join our Digital Infrastructure and Cloud Practice. This role will be a highly dynamic role with day to day responsibilities a mix of technical and people management. The person should be a DevOps lead with experience in Continuous deployment paradigm responsible for setting up the project from scratch and building a team around and leading the technical delivery. Mentoring team-mates in the latest technologies and methods is essential. Experience & Qualifications:

• 8-10+ years' experience working with Azure cloud infrastructure, products, and services such as Azure Web App, Azure DevOps CI/CD, Resource Manager, Application Gateway, IaaS, PaaS, etc.
• 3-5+ years' experience using Infrastructure as Code tools such as Terraform
• Heavy experience in K8 and AKS to include Kubernetes networking
• CI/CD pipelines and designing solutions in the Cloud
• Azure & K8 Certified
• Proficient with source code management tools (Git, Azure DevOps)
• Proficient in implementing and supporting container-based infrastructure on Azure (Docker, Kubernetes, AKS, etc.)
• Proficient with Bash, PowerShell, Python, or other scripting languages
• Experience with relational SQL databases and other related technologies (MS SQL Server, MySQL, Redis, MongoDB)
• Experience in implementing Azure data analytics services (Data Lake, Databricks)