Azure DevOps Engineer

• Manage

  scalable Azure environments

  (VMs, AKS, App Services, Azure Functions, SQL DB, Azure Storage).
• Automate

  infrastructure

  (Ansible, Terraform).
• Containerize

  applications

  (Docker, K8s, AKS)
• Administer

  Linux servers

  , w

  rite and maintain Shell scripts

• Helm

  charts

  ,

  Kustomize

  .
• Observability

  (

  Prometheus, Grafana, Azure Monitor, and Application Insights)
• Azure Application Development or support experiences with

  Azure PaaS services (Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Web Apps, etc)

• Implement a container build and deploy strategy
• Experience on

  Azure Service Fabric clusters

  and troubleshoot using app Insight
• Implement infrastructure compliance, security, and continuous feedback mechanism
• Experience in continuous integration and dependency management
• Implementing Continuous Delivery and release management workflow
• Experience in one or more automation languages (

  PowerShell

  , Python/Shell script/Groovy)
• Exposure to build high available infrastructure and plan for Disaster recovery solutions, backup management, Azure data factory

Required Qualifications:

• 5+ years in a technical position. Desired degree in Computer Science, Engineering or Equivalent Experience.
• 5+ years of experience in configuration and maintenance of Azure DevOps pipelines
• Design and implement an Agile work management approach.
• Certificate of AZ-203/ AZ-204 / AZ- 400 is good to have.
• Good communication skills, Team player and Ability to mentor other team members in resolving the issues.
• Operational Excellence: Work with leadership team on process improvement, operational efficiency, and strategic initiatives.
• Strong customer focus and obsession with quality.
• Strong problem solving and analytical skills, self-motivated, requiring minimal oversight and work we'll in a collaborative environment.
• Ability to learn and apply new technologies quickly and be self-directed.
• Working knowledge in Agile/SCRUM and traditional SDLC project execution methodologies