Principal Software Engineer, CoreAI

MicrosoftRedmond, WA
$142,800 - $304,200Onsite

About The Position

The CoreAI AI Platform team is seeking a Principal Software Engineer in Redmond, WA to design and evolve cloud-scale platform services, developer and research tooling, and governed data infrastructure that enable safe, reliable, and efficient delivery of AI-powered product experiences. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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, Python or equivalent experience.

Nice To Haves

  • 6+ years of experience designing, building, and operating large-scale software systems.
  • Strong expertise in distributed systems, cloud infrastructure, platform engineering, or data infrastructure.
  • Demonstrated technical leadership across ambiguous problem spaces and across team boundaries.
  • Experience improving production reliability, security, and operational efficiency for complex services.
  • Experience building internal platforms, developer tooling, or workflow automation for engineering or research organizations.
  • Experience with governed data platforms, access control, observability, or compliance-aware system design.
  • Experience supporting AI or ML-adjacent workloads and the infrastructure around them.
  • Strong mentoring and collaboration skills with a track record of raising engineering quality across teams.

Responsibilities

  • Lead the architecture and implementation of large-scale platform services that support complex engineering and AI workflows in distributed cloud environments.
  • Build internal tooling and automation that improve productivity for engineers and researchers across experimentation, deployment, and operational workflows.
  • Design platform capabilities that make data easier to discover, access, and use in secure, governed, and auditable ways.
  • Drive operational excellence through improvements in reliability, observability, deployment safety, and incident readiness.
  • Partner across teams to resolve cross-cutting technical problems and align architecture, engineering standards, and long-term investments.
  • Mentor engineers, contribute to technical reviews, and help raise the engineering bar across the organization.

Benefits

  • Certain roles may be eligible for benefits and other compensation.
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