DevOps Engineer
Job details
- Employment
- Contract
- Level
- Senior
- Experience
- 10+ years
- Posted
- Oct 19, 2026
- Last confirmed open
- Oct 19, 2026
About this role
As a Devops Engineer , you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: -
Release Management
· Own and improve the release management process.
· Plan deployment schedules and release calendars.
· Lead release readiness reviews and Go/No-Go meetings.
· Ensure compliance with change management and audit requirements.
· Track release metrics and operational KPIs.
Azure Databricks Deployment Management
· Manage deployments of:
o Databricks Workflows
o Delta Live Tables (DLT)
o Notebooks
o Unity Catalog
o SQL Warehouses
o Lakehouse data pipelines
· Define deployment standards, rollback plans, and release controls.
Azure DevOps & CI/CD
· Build and manage Azure DevOps release pipelines.
· Implement Git branching and version control best practices.
· Govern code reviews, pull requests, and deployment approvals.
· Automate build, testing, and deployment processes.
Change & Risk Management
· Assess production impact and risks before releases.
· Identify dependencies and business impacts.
· Create rollback and contingency plans.
· Participate in CAB (Change Advisory Board) reviews.
Production Support
· Lead major release deployments and support activities.
· Coordinate issue resolution and root cause analysis.
· Work with Data Engineering, Operations, Security, QA, and Business teams.
Required Skills
· 10+ years in Release Management, Change Management, or Production Operations.
· 5+ years with:
o Azure cloud data platforms
o Azure DevOps
o Git
o CI/CD automation
· Experience handling large-scale production deployments across multiple teams.
· Strong understanding of release governance and production support.
Mandatory Technical skills: -
· Azure Databricks
· Azure DevOps
· Git
· CI/CD Pipelines
· Release Management
· Change Management
· Production Support
· DataOps
· Azure Data Factory
· Power BI / Tableau
· Enterprise Deployments