Principal Software Engineering Manager

Last updated 5 hours ago
Location:Bellevue, Washington
Job Type:Full Time

Microsoft bets on Artificial Intelligence as the next growth opportunity for the company. Bing, Cortana, Office 365 and MS Research are in the forefront in applying Deep Learning to Natural Language Processing, Speech and Image recognition.

The workspace Management team in AI PLATFORM is delivering next generation Secured AI Capabilities to the world, so that IT admins can provision and secure resources while data scientists can enrich their target customers experience with the magic of AI.

As a team, we adopt a culture of meritocracy, bias towards taking big risks and failing fast, and value hacking together. You will join a team of talented engineers who love solving hard problems, embrace open source.

If you are a hard-core developer who is passionate about AI and Solving challenging AI problems, you should join us.

Responsibilities

As part of the Workspace Management Team, you will be leading a group of engineers who are currently working on projects to support Secured AI. Which requires us to provision various Azure Resources like Private Link, VNET, storage, ACR etc. configure security while simplifying the data science process for AzureML that allows our customers to run model training and inferencing jobs over 100s of GPUs on Azure. You will contribute to the design and implementation of the core Azure AI IT Admin Services, We value passion, creativity, and desire to learn new complex technical areas, agility and accountability while pivoting a team towards greater result.

We are looking for motivated, result-oriented and collaborative people who have a drive for results.

As a leader of the team, you will participate in proposing and developing innovative solutions that span across multiple layers of technologies. You will be responsible for fully understanding requirements and providing solutions that match the needs.

Qualifications

  • Minimum of 5+ years of Management experience required.
  • A minimum of a Bachelor’s degree in Computer Science or Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience is required.
  • Expertise in C#, Java, Scala, C++ or Python
  • Experience with distributed systems design and implementation, especially microservices architecture, and experience with cluster scheduling technologies like Hadoop Yarn, Kubernetes, Fleet, etc is a plus.
  • Depth understanding of Azure is a plus.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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.