Integration Engineer

Job Title : Azure DevOps Engineer

Level : Analyst / Senior Analyst

Operating Group : CN SC&O Data & AI

Location : Bangalore / Gurgaon / Mumbai / Hyderabad Principal Duties and Responsibilities

Design, implement, and maintain CI / CD pipelines using Azure DevOps (Azure Repos, Pipelines, and Artifacts).

Automate build, test, and deployment processes for both cloud and on-premises applications.

Create and manage infrastructure using Terraform , ARM templates , or Bicep .

Ensure consistency, scalability, and reliability of environments across development, staging, and production.

Manage and monitor Azure resources such as VMs, AKS, App Services, Azure SQL, and Storage Accounts .

Optimize cloud costs and performance through monitoring, automation, and proactive issue resolution.

Develop automation scripts using PowerShell , Bash , or Python to streamline operations.

Integrate automated testing and quality checks within CI / CD workflows.

Implement and maintain security best practices across cloud and pipeline configurations, including secrets management using Azure Key Vault .

Ensure compliance with organizational and regulatory security standards.

Collaborate with development, QA, and operations teams to support end-to-end software delivery.

Set up and maintain monitoring and alerting systems using Azure Monitor , Application Insights , and Log Analytics .

Analyze logs and metrics to identify, troubleshoot, and resolve performance bottlenecks.

Preferred Qualifications

Bachelor's degree in Computer Science , Information Technology , or a related field.

Certifications in Azure , DevOps , or Cloud Technologies (e.g., Microsoft Certified : Azure DevOps Engineer Expert ).

Experience

2 5 years of hands-on experience in DevOps or Cloud Engineering roles.

Strong working knowledge of Azure DevOps (Repos, Pipelines, Boards, Artifacts).

Experience with Azure Cloud Services such as App Services, AKS, Functions, Networking, Storage, and SQL.

Proficiency in containerization and orchestration tools (Docker, Kubernetes).

Exposure to monitoring and logging tools such as Azure Monitor, Grafana, Prometheus, Log Analytics, or ELK.

Strong scripting capabilities in PowerShell , Bash , or Python .

Key Competencies and Skills

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Solid understanding of CI / CD pipelines , agile development , and release management best practices.

Familiarity with version control systems (Git) and collaboration workflows.

Strong knowledge of cloud security , compliance , and governance practices .

Excellent troubleshooting, optimization, and automation skills for cloud infrastructure and deployments.

Additional Information

Target Industries / Sectors : Consumer Products, Hi-Tech, Retail, Automotive.