Senior Software Development Engineer

Microsoft•Redmond, WA

About The Position

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) builds and operates the infrastructure and foundational technologies supporting Microsoft’s online businesses and Azure. The team partners across hardware, firmware, software, and operations to improve cloud infrastructure availability and enable next-generation systems, while contributing to industry efforts such as Project Olympus and the Open Compute Project. The Senior Software Development Engineer will build and operate large-scale cloud infrastructure systems that power Azure. This hands-on role works across a full stack for managing and monitoring cloud hardware in hyperscale environments, improving reliability, availability, and performance through data science and AI capabilities. The engineer will help integrate AI developer tools and build AI applications for fleet management and quality improvement, while providing technical leadership to accelerate team productivity and processes. The role requires a record of delivering quality results to customers, an engineering mindset, adaptability, and technical excellence in software engineering.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

  • Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 2+ years of experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; or a bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 4+ years of such experience; or equivalent experience.

Responsibilities

  • Develop tooling that improves understanding of control plane systems, services, and tools using existing and new data sources.
  • Use data science to provide key business insights.
  • Develop and enhance device telemetry, health monitoring, hardware health signal processing, and automated remediation workflows.
  • Drive live-site excellence through monitoring, debugging, root cause analysis, repair loops, and ongoing service reliability improvements.
  • Collaborate with hardware, firmware, platform, and partner teams to deliver end-to-end solutions across hardware and software boundaries.
  • Translate customer and production feedback into feature enhancements, bug fixes, reliability improvements, and supportability investments.
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