Job Description

Job Description: Should have at least a minimum 7-10 years of hands-on expertise in DevOps ecosystem and Automating and orchestrating workloads on Azure along with experience in scripting (PowerShell, Python). Experience with Version control tools like Git (GitHub, GitLab), SVN, TFS. Proficient in leveraging CI/CD tools (Azure DevOps, VSTS, Jenkins) to automate testing and deployment. Experience in different Azure services (Especially Big data & Analytics services) & APIs. Working knowledge of Operating Systems (Linux & Windows), (Azure SQL, SQL Server and/or MySQL). Strong working understanding of networking, including load balancing and firewall methodologies on Cloud and in General. Should understand Cloud Security concepts and implementation of it in Azure environment (Security Center). Good knowledge of application development/deployment using Agile, and DevOps best practices (Azure DevOps, VSTS, TFS, Git). Working Knowledge of different monitoring tools like Azure App Insight, Azure Monitor, Nagios, EFK, NewRelic, DataDog etc. Should have strong troubleshooting skills in both Linux and Windows environments Understanding of Application Lifecycle Management and Data Lifecycle management Working knowledge of Containerization (Docker, Kubernetes, AKS) Azure (Virtual Machines, App Service, Virtual network, Load Balancer, Storage (Gen1, Gen2), Azure Databricks, Data Factory, Key Vault, etc.). CI/CD/CT (Azure DevOps (VSTS), Maven, Artifactory, Sonar, JUnit, Selenium, Git, SVN, etc.) DevOps Tools (Terraform, ARM templates (infra-as-code), Puppet, Ansible) Monitoring (Application Insight, Azure Monitor, DataDog, etc.) Excellent written and verbal communication skills with the ability to communicate both technical issues to nontechnical and technical audiences. Effective with time management and expected deliverables and the ability to multi-task and work on multiple concurrent issues and improvements.