Microsoft Principal Software Engineering 

United States, Washington 

199167096

. This is a world of, more innovation, more openness, andthe skylimit thinkinga cloud-enabled world.data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

and other modern approaches

better served

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline 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+ years of experience in Developing System Software such as distributed systems operating systems, network/storage stacks, runtimes, or related
• Experience in Developing and Integrating Machine Learning patterns, exposure to High Performance Computing (HPC) applications or related
• Experience building and using engineering productivity tools across SDLC
• Experience in performance turning of system software and distributed systems

Other Requirements

Abilityto meet Microsoft, customer and/or government security screening requirementsarerequired 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/Additional Qualifications

• Experience with Azure, AWS, Google Cloud or other cloud computing platforms is a plus.• Demonstrated experience in working with cloud, big data, machine learning, data science, machine learning operations (MLOps), and distributed systems.• Familiarity and/or experience building data pipelines, or real time data streaming technologies and tools like Kafka, Flink, and others

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until September 16, 2024.

and other modern approaches- Develop techniques to modernize SQL Server and other Azure Databases codebases leveraging GenAI- Lead designing and building Engineering One Lake containing all related engineering artifacts produced by the entire Software Development Life Cycle, SDLCEmbody our