Lead Azure DevOps Engineer

Job Description

We are looking for a Lead Azure DevOps Engineer with deep hands-on experience in cloud infrastructure, DevOps best practices, and application integration on Microsoft Azure . The ideal candidate will have a strong background in Terraform , ARM , Bicep , and development experience in TypeScript , JavaScript , and .NET . This individual will play a key role in enhancing our Data Ingestion & Storage system , supporting integration with internal platforms, and leading DevOps-related initiatives. What will you do : Lead DevOps strategy and delivery on Azure for data-related infrastructure and platform integration. Design and implement Infrastructure-as-Code (IaC) using Terraform, ARM templates, and Bicep. Build a Computer System Validated (CSV) interface to Roche OneArchive to support the migration of large-scale datasets (several TBs). Develop and automate data consistency checks post-ingestion to ensure data integrity and compliance. Manage data deletion workflows in accordance with established Standard Operating Procedures (SOPs). Design and support a lightweight integration with OneDBM (Caspian platform)\u2014primarily an Azure coordination piece with AWS collaboration. Develop scripts and utilities using TypeScript, JavaScript, and .NET/C# to support automation and integration. Collaborate with cross-functional teams including development, data engineering, and AWS infrastructure teams. Provide leadership and mentoring to DevOps and cloud engineering peers. Requirements What we are looking for : 8+ years of experience working with Microsoft Azure , including production-level architecture, automation, and deployment. Deep experience with Azure DevOps (pipelines, repos, artifacts, and release management). Strong experience with Infrastructure-as-Code (IaC) using Terraform , ARM templates , and Bicep . Programming/scripting expertise in TypeScript , JavaScript , and .NET (C#) . Hands-on experience with CSV-compliant systems in regulated industries (e.g., life sciences, pharma). Familiarity with data handling, especially large dataset migration , validation , and automated deletion protocols. Kubernetes expertise is a must have and knowledge on Service Mesh, Tracing, Helm Charts etc would be an added advantage. Understanding of hybrid cloud setups, with some exposure to AWS helpful for platform integration. Good presentation and communications skills. Finally, and most importantly to lead and grow your team by example