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This role requires availability during Eastern US working hours (e.g., 9 AM 5 PM EST), with some flexibility as needed. Key Responsibilities: - Perform DevOps operations including automating infrastructure deployments, code change releases, managing configurations, and implementing monitoring and alerting systems. - Maintain with Terraform cloud infrastructure solutions on Azure for data warehousing and analytics, ensuring high availability, scalability, and security. - Maintain AKS clusters supporting infrastructure for custom ETL solutions. - Manage and optimize Azure Data Factory pipelines for ETL processes, ensuring efficient data movement and transformation. - Maintain Azure Databricks environments for big data processing, machine learning, and advanced analytics. - Administer and manage Azure Synapse Analytics for data integration, data storage, and enterprise-scale analytics. - Oversee the configuration and optimization of Azure Storage solutions, ensuring data is stored efficiently and securely. - Ensure cloud infrastructure adheres to best practices for security, cost optimization, and disaster recovery. - Troubleshoot and resolve complex infrastructure-related issues in a timely manner. - Provide technical leadership in cloud architecture design, mentoring junior engineers, and ensuring adherence to architectural best practices. - Maintain documentation of cloud infrastructure, processes, and DevOps pipelines. - Work closely with data engineering and data science teams to ensure seamless integration of cloud services with data warehouse environments. - Support ongoing infrastructure monitoring, performance tuning, and capacity planning. Required Skills & Qualifications: - 3+ years of hands-on experience in Azure cloud infrastructure. - Solid understanding of DevOps practices, including infrastructure as code (IaC) and automation using Azure DevOps. - Experience in managing DataOps operations for cloud data warehouse environments, including deployment automation and monitoring. - Experience in managing AKS clusters with Argo CD solution. - Strong expertise in Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Storage. - Proficiency with Git for version control and integration with CI/CD pipelines. - Experience with Terraform or ARM templates for infrastructure provisioning. - Strong knowledge of cloud security best practices, including data encryption, identity management, and access controls. - Excellent problem-solving skills and ability to troubleshoot complex technical issues. - Familiarity with scripting languages (e.g., PowerShell, Python) for automation tasks. - Robust communication and collaboration skills, with the ability to work effectively across teams. Preferred Qualifications: - Knowledge of data governance and compliance standards, particularly in cloud environments. - Experience with Claude Code. - Experience with other cloud platforms (e.g., AWS, GCP) is a plus .
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.