Microsoft CI/CD DevOps Engineer

Tech Rakers
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

API
Business Analytics Applications
Azure
Cloud Engineering
Continuous Integration
Information Engineering
Data Governance
DevOps
Github
Python
Web Applications
Delivery Pipeline
Event Driven Architecture
Microsoft Fabric
Git Flow
Kubernetes
Deployment Automation
Rancher
Data Management
Api Design
REST
Microservices

Job description

We are seeking a Senior Microsoft CI/CD DevOps Engineer. This role focuses on building robust CI/CD pipelines leveraging the Microsoft Fabric CI/CD API and Python-based frameworks to enable scalable, governed, and production-ready analytics and web solutions.

You will play a key role in modernizing deployment practices and integrating Fabric with enterprise platforms and web applications.

Requirements

Sr. DevOps Engineer with heavy Data background need ENTERPRISE experience with Fabric and Python., * Please only send candidates with elite, 10/10 communication -- this is a shadow IT team within a finance/commercial group so they are very close to the business, who have very high expectations for business analysis skills.

  • 7 10+ years experience in DevOps, Data Engineering, or Cloud Engineering

Strong expertise with:

  • CI/CD pipeline architecture
  • Microsoft Fabric CI/CD API and REST-based automation

Advanced proficiency in:

  • Python development (building automation frameworks, deployment tooling)

Hands-on experience with:

  • Git-based workflows (branching, pull requests, releases)
  • Azure DevOps or GitHub Actions

Strong understanding of:

  • Cloud-native architectures (Azure preferred)
  • Data platforms and analytics lifecycle management, * Microsoft Fabric (huge plus)
  • Kubernetes (K8s) in production environments
  • Rancher for cluster management

Familiarity with:

  • REST APIs, microservices, and event-driven architectures
  • Data governance, lineage, and security frameworks
  • Experience with API-driven deployment strategies for analytics platforms
  • Exposure to enterprise web-based data applications

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