Azure Devops Engineer

Azure DevOps Engineer

Experience:

Availability

Mode of Interview - Virtual and Face 2 Face (Mandate)

Role Overview

Azure DevOps Engineer

Key Responsibilities

• Manage and maintain

  Kubernetes (AKS) clusters

  , namespaces, and associated infrastructure.
• Implement and manage

  Infrastructure as Code (IaC)

  using tools such as

  Terraform, Bicep, or Pulumi

  .
• Design, configure, and optimize

  Azure CI/CD pipelines

  , including

  self-hosted agents

  .
• Implement monitoring solutions and integrate with tools like

  Prometheus

  and

  Grafana

  .
• Troubleshoot and support

  Kubernetes containers

  , networking, and internal onboarding tasks.
• Contribute to

  Python-based business applications

  and support scripting needs.
• Work with

  Linux-based environments

  and perform day-to-day administration.
• Provide insights and recommendations to improve platform performance and team efficiency.
  
• Collaborate with cross-functional teams and effectively communicate with stakeholders at multiple levels.
  

Mandatory Skills

• Strong experience with

  Kubernetes

  ,

  Azure DevOps

  , and

  Microsoft Azure

  .
• Proficiency in at least one

  IaC language

  (Terraform, Bicep, Pulumi).
• Hands-on experience with

  CI/CD pipelines

  and Git branching/merging strategies.
• Scripting expertise in

  Python, PowerShell, or Bash

  .

Additional Skills (Preferred)

• Experience with

  Docker

  and containerization concepts.
• Database/SQL knowledge.
  
• Monitoring and observability using

  Prometheus, Grafana

  .
• Exposure to

  Pulumi

  for infrastructure management.
• Certifications such as

  CKA (Certified Kubernetes Administrator)

  or

  SAFe

  Agile.
• Proficiency in

  German

  (spoken and written) is a value add.

Candidate Expectations

• Strong understanding of

  Kubernetes internals, networking, and troubleshooting

  .
• Experience working in

  Linux environments

  with command-line proficiency.
• Ability to contribute to and review

  Python code

  in the business landscape.
• Strong interpersonal, communication, and collaboration skills.
  
• Proactive in sharing knowledge and driving continuous improvement within the team.