Sr Lead/Architect - DevOps Azure

As a Senior Lead/Architect specializing in DevOps Azure at Tiger Analytics, your responsibilities will include estimating Cloud Platform automation and DevOps activities, as well as creating proposals. You will be tasked with planning and executing Infrastructure automation, Build, Deploy, and Release automation across various Cloud platforms. Additionally, you will be involved in designing and configuring DevSecOps pipelines for different projects in collaboration with Client and Project teams. Your role will also require you to define, communicate, and promote Cloud Platform Automation practices while providing mentorship to junior team members. You will serve as a subject matter expert and thought leader on DevOps industry trends, as well as new and existing technology solutions and architectural principles. To excel in this position, you must possess significant experience in Azure cloud technologies. Your duties will involve implementing CI/CD pipelines utilizing Azure DevOps to automate build, test, and deployment processes for data pipelines, analytics solutions, and Infrastructure as Code (IaC) templates using Terraform. Proficiency in Terraform for Azure landscapes, particularly on Big Data technologies like ADF and ADO, is essential. You should have a deep understanding of Azure Active Directory for configuring web application authentication and authorization using roles and permissions. Experience with DevOps tools such as Github, Github Actions, Github Workflows, Sonarqube, Terraform, Docker, and Kubernetes is crucial. You will also be responsible for deploying React, Python, and Terraform-based applications through CI/CD pipelines established on Github Actions, deploying React and Python applications to AKS and Azure App Services. Apart from technical skills, the ability to juggle multiple projects simultaneously and a willingness to rapidly acquire new technologies, tools, and methodologies are key requirements for this role. Mandatory skills for this position include proficiency in Azure DevOps, Docker, Terraform, and Kubernetes. Additionally, having knowledge in Data Lake and Data Factory is considered a valuable asset.,