Senior Software Engineer

The Azure Kubernetes Service team is focused on building world-class container management and orchestration services for Microsoft Azure and beyond. This team develops container solutions for both Linux and Windows environments, enabling scalable and reliable infrastructure for cloud-native applications.

Our mission is to define the next generation of cloud-native infrastructure on Azure. We are seeking experienced software engineers who are enthusiastic about containers and container orchestration using Kubernetes. Ideal candidates will also have a strong interest in developing tools that support DevOps practices, making it easier for developers to build, deploy, and scale their applications in the cloud.

This role offers the opportunity to work on high-impact projects that shape the future of cloud infrastructure. You will collaborate with a diverse team of engineers to solve complex technical challenges and deliver innovative solutions that empower customers across industries.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications: 

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#,  
  • OR Java, JavaScript, or Python 
  • OR equivalent experience.  
• 4+ years of experience in commercial software development.
• 1+ years experience in building, shipping and operating reliable, distributed solutions.
• 1+ years experience with containers and Kubernetes.

Other Requirements: 

• 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. 

Preferred Qualifications:  

• Bachelor'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 Master'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++, C#, Java, JavaScript, or Python 
  • OR equivalent experience. 

• 1+ year(s) of experience with Golang and Linux, contributing to cloud-native development and systems programming.
• 1+ year(s) of experience using GitHub Copilot, leveraging AI-assisted coding to enhance productivity and code quality.
• 1+ year(s) of experience applying site-reliability engineering (SRE) practices, including monitoring, incident response, and improving system resilience.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

 Microsoft will accept applications for the role until September 12, 2025

#azurecorejobs

• Advance the capabilities of Kubernetes and auxiliary components on Azure
• Improve quality of service for Microsoft Azure Kubernetes Service
• Accelerate development velocity for all engineers
• Balance pragmatism with vision; deliver continuous improvements to the team’s process and codebase
• Build automation to prevent and/or remediate service problems from becoming production incidents