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Role : Azure DevOps / Infrastructure Engineer Experience: 3+ Years Shift Timings: Candidates should be available to work 9-hour shifts aligned with US Eastern business hours: - 5:30 PM 2:30 AM IST (Daylight Saving Time) - 6:30 PM 3:30 AM IST (Standard Time) Job Summary We are looking for an experienced Azure DevOps / Infrastructure Engineer to design, automate, and manage Azure cloud infrastructure supporting enterprise data warehouse and analytics platforms. The ideal candidate should have strong expertise in Azure DevOps, Infrastructure as Code (IaC), Kubernetes (AKS), Terraform, and Azure data services including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage. Key Responsibilities - Design, deploy, and maintain Azure cloud infrastructure using Terraform or ARM Templates. - Build and manage CI/CD pipelines using Azure DevOps. - Automate infrastructure provisioning, deployments, configuration management, and release processes. - Manage and maintain Azure Kubernetes Service (AKS) clusters and deployments using Argo CD. - Administer Azure Data Factory (ADF) pipelines for ETL workflows. - Maintain Azure Databricks environments for data engineering and analytics workloads. - Manage Azure Synapse Analytics for enterprise-scale data integration and reporting. - Configure and optimize Azure Storage solutions. - Monitor infrastructure health, troubleshoot issues, and optimize system performance. - Implement cloud security best practices, access management, backup, disaster recovery, and cost optimization. - Collaborate with Data Engineering and Analytics teams to support cloud-based data platforms. - Maintain infrastructure documentation and operational procedures. Required Skills - 3+ years of hands-on experience in Azure Cloud Infrastructure. - Strong experience with Azure DevOps and CI/CD pipelines. - Hands-on experience with Terraform or ARM Templates. - Experience managing Azure Kubernetes Service (AKS). - Experience with Argo CD for Kubernetes deployments. - Solid knowledge of Azure Data Factory (ADF). - Hands-on experience with Azure Databricks. - Experience with Azure Synapse Analytics. - Experience with Azure Storage services. - Proficiency with Git and version control. - Good understanding of Infrastructure as Code (IaC). - Knowledge of cloud security, monitoring, and troubleshooting. - Scripting experience using PowerShell and/or Python. - Strong problem-solving, communication, and collaboration skills. Preferred Skills - Experience with DataOps practices. - Knowledge of cloud governance and compliance standards. - Experience with Claude Code. - Exposure to AWS or Google Cloud Platform (GCP) is an added advantage. Why Join - Opportunity to work on enterprise-scale Azure cloud platforms. - Exposure to up-to-date DevOps, DataOps, and cloud-native technologies. - Collaborative environment with global teams. - Opportunity to work on cutting-edge cloud data engineering projects. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.