Azure DevOps Engineer

Responsibilities
Design and build out of IaC and integration points for a new data mesh driven solution
Prioritize and deliver against a defined Backlog of Epics in an agile approach
Review and demonstrate solutions with stakeholders and aligned agile pods
Identify and implement automation opportunities to ingest, search and process datasets

Requirements
More than 5 years hand-on experience with Azure DevOps
Hands-on experience in continuous delivery and continuous integration of CI/CD pipelines
Experience with Azure Repos, branching, code review and code analysis tools
Proficient with Git, Gitlab Git Flow, Azure DevOps
Strong hands-on expertise in diverse DevSecOps concepts / tools, especially on Azure DevOps, Pipelines, GitHub, GitHub actions
Ability to assess the requirement, environment and suggest right tools / technologies
Hands on experience on Kubernetes and containerization technologies like Docker and Azure Container Registry
Good knowledge on PowerShell scripting
Expertise in Debugging and providing solutions and workarounds
Hands-on experience with REST APIs and consuming from .Net Technologies and PowerShell
Knowledge on Azure Databricks and its architecture / framework
Knowledge on Azure Machine Learning Service and its architecture / framework
Knowledge on different monitoring and logging solutions available on Cloud, preferably on Azure
Expertise on Azure Functions
Excellent communication, presentation, and coding abilities.

It would be great if you also had:
A background in financial services, banking and large enterprise environments
Any experience in Data Management, Machine Learning or Artificial Intelligence.