Role Summary

We are seeking a Platform Engineer to design, build, and support scalable, secure, cloud-native data platforms on Microsoft Azure. The role involves strong hands-on work with Kubernetes, data platforms, automation, and DevOps, along with exposure to modern AI-enabled ecosystems.

Key Responsibilities

• Design, build, and maintain cloud-native data platforms
• Automate infrastructure and operational tasks using Linux, Python, and Shell scripting
• Build, manage, and optimize Docker images and containerized workloads
• Deploy, operate, and troubleshoot workloads on Kubernetes (AKS or equivalent)
• Support and optimize Apache Spark and Apache Iceberg-based data platforms
• Work with DataHub, Trino, and Apache Ranger for metadata, query, and governance use cases
• Implement and maintain Azure CI/CD pipelines
• Ensure secure platform access using TLS/SSL, OAuth, and Hash...