Principal Software Engineer, Coreai

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Principal Software Engineer to design and evolve cloud-scale platform services, developer and research tooling, and governed data infrastructure for AI-powered product experiences. Focus on building internal tooling, automation, and platform capabilities for secure and discoverable data, driving operational excellence, and mentoring engineers.

What you'd actually do

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

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field
  • 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 have

  • 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.

What the JD emphasized

  • AI-powered product experiences
  • AI or ML-adjacent workloads

Other signals

  • cloud-scale platform services
  • developer and research tooling
  • governed data infrastructure
  • AI-powered product experiences