Position: Middle/Senior Azure DevOps Engineer (Part- time)
Company: GlobalLogic
Category: DevOps
Experience required: 5y
English level: intermediate

Description:
Our client is a big EU company which plays a leading role in the global market of communication, security and digital services solutions. The product we are developing for our Client is the next generation system which enables distributed communication and media services for distributed users via voice and video calls, texting, voice messages, money transfer, etc. This product is a part of a bigger ecosystem which includes security control systems, solutions for user access to media on devices, such as unique set-top-box, kiosk, PC or tablet. Our client is driven by modern technology solutions and quality excellence.

Requirements:
4+ years proven Azure cloud Devops processes development experience
Strong experience in the software development lifecycle, Infrastructure as Code (Terraform or CloudFormation), Azure DevOps Pipelines, and Automation
Expert knowledge of Azure Monitoring, Dashboarding and Alerting
Strong scripting skills in languages like Python, Bash, or PowerShell
Proficient in containerization tools and techniques to build, deploy, and manage containerized applications
Experience in managing and scaling Kubernetes clusters
General good understanding of DevOps for Linux, Windows, Unix, SQL
Experience using Azure Resource Management templates
Tests automation set up experience
English: proven upper-intermediate or higher written and speaking skills, ability to present in front of client, actively participate in meetings
Would be a plus:

Microsoft Certificate AZ-400 and Microsoft Certificate AZ-900
Experience with VoIp and MS Blazor
Experience with ELK stack

Responsibilities:
Creating automated Infrastructure and App deployments for supported Products using Azure DevOps
Designing and implementing Azure Cloud Solutions
Creating, Updating, and Maintaining Resource definitions in Git Repository
Communicate with a team of data scientists, data engineers, and architects, document the processes
Configuring and maintaining development environments
Managing CI/CD process
Automate routine tasks.
Diagnosing, troubleshooting and identifying solutions to resolve system issues
Supporting and maintaining Production environments