We are looking for a Senior DevOps Engineer to lead infrastructure, automation, and cloud strategy for a modern microservices-based platform built with .NET (backend), React (frontend), and Microsoft Azure.
You will play a key role in designing scalable cloud architecture, improving CI/CD pipelines, and driving DevOps best practices across engineering teams.
About the Client:
Global IT distributor and solutions aggregator that connects technology vendors with resellers and system integrators. The company provides a broad portfolio of hardware, software, cloud solutions, and services, helping partners design, deploy, and manage IT solutions for their customers.
responsibilities :
Design, implement, and maintain scalable, secure Azure cloud infrastructure.
Build and optimize CI/CD pipelines for .NET and React applications.
Architect and manage containerized microservices environments (Docker, Kubernetes).
Improve system reliability, observability, and performance monitoring.
Ensure high availability, disaster recovery, and security best practices.
Collaborate closely with development teams to streamline release processes.
Lead DevOps automation initiatives and reduce manual operational overhead.
Support and optimize cloud costs and resource utilization.
requirements-expected :
5+ years of DevOps/Cloud Engineering experience.
Strong hands-on experience with Microsoft Azure (App Services, AKS, Azure DevOps, Azure Monitor, etc.).
Experience supporting .NET-based backend services and modern frontend applications (React).
Solid understanding of microservices architecture and container orchestration (Kubernetes).
Strong experience with CI/CD pipeline design and automation.
Experience with Infrastructure as Code (Terraform, Bicep, ARM).
Deep understanding of networking, security, and cloud architecture principles.
Experience implementing monitoring, logging, and alerting systems.
Strong scripting skills (PowerShell, Bash, or similar).
Experience using AI-powered development tools (e.g., GitHub Copilot or alternatives).
Ability to leverage AI agents to improve automation, infrastructure management, troubleshooting, and developer productivity.
