Principal Software Engineer

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Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and sky is the limit thinking in a cloud-enabled world.

As part of the Azure OpenAI team, you’ll work on the largest AI services in Microsoft, learn in a fast paced, live-site focused environment, and deliver customer value with everything we do.

We are hiring a Principal Software Engineer.

The role provides an opportunity to:

• Impact on one of the fastest growing services in Azure that is critical to the Microsoft AI strategy.
• Work in a world class engineering team of engineers, architects, and leadership that will help you grow your career.
• Innovate around the developer experience and define how developers leverage cutting edge AI technologies and build world class applications

Be part of a dynamic open-source community that will enable you to learn, collaborate, and contribute with the top minds in the industry.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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/Minimum 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 equivalent experience.
• 8+ yrs. multi-tenant large scale cloud services development

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.

Additional or Preferred Qualifications

• 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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

• Experience building online services for consumers at scale and solid programming skills in C#, .NET core, Kubernetes, WebSockets, gRPC, multi-threaded microservices
• Platform/API design, debugging and data analysis skills.
• Experience in engineering methodologies: Unit testing, Test Driven Development and a firm commitment to quality
• Track record of shipping high-quality software on time
• Experience working across multiple projects

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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

Microsoft will accept applications for the role until April 14, 2025.

#MSFTNSBE25

#AIPLATFORM#

• Design, implement and deliver AI services to support expanded business offerings of Azure Cognitive Services in the cloud and on-prem.
• Use data-driven approach to build operational insights and drive operational excellence.
• Oversees the lifecycle of service delivery and service monitoring, find new and innovative ways to detect defects and improve livesite quality.
• With a focus on engineering velocity, provide our own engineers with the best set of development tools and empower every engineer on the team to do their best work.
• Enable customers to leverage various machine learning scenarios to drive tangible business impact
• Provide feedback and help to improve our day-to-day development process and live site maintenance.
• Embody our culture and values