Microsoft Data Processing Unit Infrastructure Engineer 

United States, California 

353208592

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline 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.

• 4+ years of experience with web and REST (Application Programming Interface) APIs for user interfaces and interaction
• 4+ years of experience in increasing developer productivity through test infrastructure and tooling

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:

• 4+ years of experience in automating maintenance tasks and monitoring for test machines
• Experience in building highly available job infrastructure
• Experience deploying prototype systems
• Knowledge of networking, storage, embedded systems, or operating systems
• Knowledge of containers, databases, message queues, object stores

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

As aData Processing Unit Infrastructure Engineer you will be responsible for the following:

• Develop job infrastructure that allows DPU engineers to test their code on emulators and pre-production silicon/systems
• Keep job infrastructure and machine fleets running while continuously improving reliability and reducing maintenance burden
• Work with engineering teams to identify future requirements for infrastructure, machines, and test frameworks
• Develop test-related tooling, frameworks, and automation that improves developer productivity
• Drive improvements in test methodologies and processes