What are the responsibilities and job description for the Senior Azure DevOps Engineer position at Inherent Technologies?
Position: Senior Azure DevOps Engineer
Location: *** Remote***
Duration: 1 Years
Job Description: 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. Required Skills
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 Preferred Skills
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
Location: *** Remote***
Duration: 1 Years
Job Description: 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. Required Skills
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 Preferred Skills
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