Job description
As a **Principal Software Engineer** on the Azure Kubernetes Service (AKS) team, you will help build world-class container management and orchestration services for the cloud and beyond.
This team develops container solutions for Microsoft Azure across both Linux and Windows platforms, enabling scalable and resilient infrastructure for a wide range of workloads.
You will play a key role in defining the **next generation of cloud-native infrastructure on Microsoft Azure** .
This position is ideal for engineers who are interested in containers and container orchestration using Kubernetes, and who are eager to build DevOps tools that simplify the development, deployment, and scaling of software in the cloud.
The team is globally distributed across multiple countries and continents, and supports flexible work environments, including remote work.
This role involves deep technical work focused on enhancing Kubernetes to support artificial intelligence and machine learning workloads.
You will develop infrastructure controllers, onboard new Kubernetes features, integrate with other Microsoft Azure services, and build foundational components to automate and accelerate training and inference workflows.
This is a unique opportunity to make a significant impact on Azure Kubernetes Service customers, especially as the artificial intelligence landscape continues to evolve rapidly.
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.
**Responsibilities**
+ Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
+ Drive the features from idea to production.
+ Work with 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.
**Qualifications**
**Required Qualifications:**
+ 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.
+ 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.
+ 3+ years of delivering production-ready solutions in cloud environments.
**Other Qualifications:**
+ 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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, golang, 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++, golang, or Python
+ OR equivalent experience.
+ 1+ year(s) of experience working with artificial intelligence and machine learning workloads, including:
+ Integration of training and inference pipelines into distributed systems.
+ Optimization of compute resources for performance and reliability.
+ 1+ year(s) of experience with container technologies and orchestration platforms, including:
+ Use of containers such as Docker.
+ Deployment and management of workloads using Kubernetes.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 (http://•%20Multi reqs: Microsoft will accept applications and processes offers for these roles on an ongoing basis.)
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Microsoft is an equal opportunity employer.
Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
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