The Job

Principal Software Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Cloud Engineering

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In short

Join Microsoft as a Principal Software Engineer to innovate AI-native infrastructure on Azure, focusing on distributed systems, Kubernetes, and AI/ML workloads. You will enhance Kubernetes capabilities, improve service quality, and integrate AI tools into development workflows.

Responsibilities

  • Advance the capabilities of Kubernetes and auxiliary components on Azure.
  • Improve quality of service for Microsoft Azure Kubernetes Service.
  • Accelerate development velocity for all engineers.
  • Balance pragmatism with vision; deliver continuous improvements to the team’s process and codebase.
  • Build automation to prevent and/or remediate service problems from becoming production incidents.
  • Leverage and integrate AI tools into workflow.

Requirements

  • 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++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Ability to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Desired Qualifications

  • 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++, C#, Java, JavaScript, or Python OR 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 equivalent experience.
  • Experience in building, shipping and operating reliable, distributed solutions.
  • Experience with containers and Kubernetes.
  • Experience in Github Copilot or other AI agent in design and implementation workflow.
  • Experience in Golang and in Linux.
  • Ability to engage in site-reliability engineering practices.

Benefits

  • The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year.
  • In San Francisco Bay area and New York City metropolitan area, the base pay range is USD $188,000 - $304,200 per year.
  • Certain roles may be eligible for benefits and other compensation.
#azure#kubernetes#ai#machine learning#cloud infrastructure#distributed systems#software engineering
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Company

Microsoft

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

Remote

Experience Level

Senior

Locations

United States

Qualification

Bachelor, Master

Applicants

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