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# Technical Specialist

- **Company:** HCL America, Inc.
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** JIRA, Build Automation, Microsoft Azure, Bash Shell, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, JSON, Windows PowerShell, Scrum Methodology, Release Management, Azure Data Lake, Software Deployment, SQL Databases, YAML, Data Logging, Scripting, Azure Data Factory, Delivery Pipeline, Software Troubleshooting, Git, Microsoft Fabric, Data Lakes, Deployment Automation, Terraform, Software Version Control, Data Pipelines, Docker, Jenkins, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=296b02fe95a90b65

## About the Role

* 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

Must Have Skill

Azure DevOps, * 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

## 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., * 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.