Technical Specialist

Job description

We are looking for a hands-on DevOps Engineer to support Data Engineering workloads running on Microsoft Azure. The engineer will focus on CI/CD automation, Jenkins pipeline engineering, release management, source control, environment management, and deployment automation, working closely with Data Engineers and cloud/platform teams. Key Responsibilities Design, develop, maintain, and troubleshoot Jenkins CI/CD pipelines supporting Azure-based data engineering solutions. Automate build, test, deployment, configuration, and release processes across development, test, QA, and production environments. Support deployment/release processes for Azure data workloads, including Azure Data Factory, Azure Databricks, Azure Storage/Data Lake, and related services. Partner with Data Engineers to incorporate data pipelines, notebooks, scripts, configuration, and infrastructure changes into repeatable deployment processes. Manage Git branching, merging, pull requests, artifacts, and release processes. Build pipeline-as-code and reusable automation to reduce manual deployment activities. Troubleshoot failed builds, deployments, permissions, dependencies, credentials, and environment/configuration issues. Support Azure identity, secrets, service connections, and secure access required by automated pipelines. Implement deployment controls, approvals, logging, and traceability throughout the CI/CD lifecycle. Support production deployments, operational troubleshooting, incident resolution, and root-cause analysis. Maintain pipeline documentation, operational procedures, and support runbooks. Participate actively in Agile/Scrum ceremonies, including sprint planning, stand-ups, backlog refinement, estimation, demos, retrospectives, and continuous improvement. Skill Requirements Strong hands-on Jenkins experience CI/CD pipeline design, development, administration, and troubleshooting Microsoft Azure experience DevOps automation supporting data engineering workloads Git and enterprise source-control practices PowerShell, Bash, and/or Python scripting Azure Data Factory and/or Azure Databricks deployment experience Automated build, test, deployment, and release-management experience Agile/Scrum delivery experience Strong troubleshooting and root-cause-analysis skills Other Requirements Azure Databricks Azure Data Factory (ADF) Microsoft Fabric Azure Data Lake / Storage Azure DevOps Terraform / Infrastructure as Code Docker and Kubernetes YAML / JSON SQL and ETL/ELT understanding Monitoring/logging for CI/CD and Azure workloads Jira or Azure Boards experience Maximum Salary (US): Minimum Salary (US): Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. 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