Azure Platform Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role As an Infrastructure Architect, you’ll draw upon the full breadth of your talent and experience. This is a technical leadership role, so we want you to bring your vision, knowledge, and leadership to each project. To the client, you’re the subject matter expert – consulting early, gathering inputs, understanding what they need from our solution. You define what Kyndryl can do to meet this solution. You design the best solution for the job. And finally, you’re the tech leader for implementation. At Kyndryl we support all major cloud platforms, so you’ll get the chance to use everything you know – and then some. You’ll also become expert at knowing when and how to call on other SMEs outside your wheelhouse. Thinking your way around pre-existing limitations will grow your creativity and flexibility. You’ll learn a lot here, and if you want to work toward certifications there are plenty of opportunities. The rewards for all this are many. You’ll get to influence, create, and deliver something from start to finish. You will have the power to delight our clients. Key Responsibilities As an Azure DevOps & Cloud Data Platform Engineer, you will: Design, build, and maintain scalable cloud-native solutions on Microsoft Azure. Develop and support enterprise data platform capabilities using Azure services and Databricks. Implement Infrastructure as Code (IaC) using Terraform to automate cloud provisioning and platform deployment. Design and maintain CI/CD pipelines to support automated application and infrastructure delivery. Develop automation solutions and platform services using Python. Contribute to the design and implementation of secure, resilient, and highly available cloud architectures. Support the development and optimization of data ingestion, transformation, and orchestration frameworks. Collaborate with Data Engineers, Architects, Security teams, and Product Owners to deliver business-critical platform capabilities. Drive platform standardization, governance, monitoring, and operational best practices. Troubleshoot complex platform issues and perform root cause analysis to improve reliability and performance. Promote engineering excellence through code reviews, automation, testing, and DevOps best practices. Mentor team members and contribute to continuous improvement initiatives across the platform organization.