Posted:1 month ago|
Platform:
Work from Office
Full Time
Experience 5 to 12 Years Location- Ahmedabad/Pune/Indore/Hyderabad Key Responsibilities: • Manage scalable Azure environments (VMs, AKS, App Services, Azure Functions, SQL DB, Azure Storage). • Automate infrastructure (Ansible, Terraform). • Containerize applications (Docker, K8s, AKS) • Administer Linux servers, write and maintain Shell scripts • Helm charts, Kustomize. • Observability (Prometheus, Grafana, Azure Monitor, and Application Insights) • Azure Application Development or support experiences with Azure PaaS services (Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Web Apps, etc.) • Implement a container build and deploy strategy • Experience on Azure Service Fabric clusters and troubleshoot using app Insight • Implement infrastructure compliance, security, and continuous feedback mechanism • Experience in continuous integration and dependency management • Implementing Continuous Delivery and release management workflow • Experience in one or more automation languages (PowerShell, Python/Shell script/Groovy) • Exposure to build high available infrastructure and plan for Disaster recovery solutions, backup management, Azure data factory Required Qualifications: • 5+ years in a technical position. Desired degree in Computer Science, Engineering or Equivalent Experience. • 5+ years of experience in configuration and maintenance of Azure DevOps pipelines • Design and implement an Agile work management approach. • Certificate of AZ-203/ AZ-204 / AZ- 400 is good to have. • Good communication skills, Team player and Ability to mentor other team members in resolving the issues. • Operational Excellence: Work with leadership team on process improvement, operational efficiency, and strategic initiatives. • Strong customer focus and obsession with quality. • Strong problem solving and analytical skills, self-motivated, requiring minimal oversight and work well in a collaborative environment. • Ability to learn and apply new technologies quickly and be self-directed. • Working knowledge in Agile/SCRUM and traditional SDLC project execution methodologies
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