Principal Software Engineer - Azure Kubernetes Service

Microsoft is a leading technology company, and they are seeking a Principal Software Engineer for the Azure Kubernetes Service team. The role involves enhancing Kubernetes to support AI and ML workloads, designing and developing infrastructure controllers, and contributing to the next generation of cloud-native infrastructure on Azure.

Responsibilities:

• Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group's project plans, release plans, and work items
• Drive the features from idea to production
• Master in emerging technologies, from software to hardware. Leading the design the implementations that advance Azure Kubernetes Service for artificial intelligence Al workloads
• Fully leverage AI in product development
• Maintains communication and make clarities with partners across the Microsoft ecosystem of engineers. Contribute to partner’s success

Requirements:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, golang, or Python OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
• Bachelor's Degree in Computer Science OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 5+ years of experience designing, building, shipping, and operating reliable distributed systems
• 3+ years of hands-on experience with scalable infrastructure and fault-tolerant architectures and delivering production-ready solutions in cloud environments
• Experience building AI solutions using agentic AI tools and training, fine tuning models