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Microsoft Software Engineer II 
Canada, British Columbia, Vancouver 
38901071

03.04.2024

As a "Software Engineer II", you will be critical in designing and delivering the next generations of Artificial Intelligence (AI) training, AI inferencing, virtual desktop, video, and gaming infrastructure for Azure. You will be challenged across various hardware architectures, network types, and processor types. You will help define and deliver an end-to-end vertical view with a continuous focus on customer value, quality, performance, and automation.

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 2+ years of experience in Software Design and Development
  • 1+ years experience with Networking background

Preferred Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

    • OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

    • OR equivalent experience.

  • Experience with Mellanox (NVIDIA) or other high-speed interconnect technologies (InfiniBand, Omni-Path)

  • Experience in High Performance Computing (HPC) or Machine Learning
  • Site reliability engineering experience


Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $79,600 - CAD $153,000 per year.

Find additional pay information here:


Responsibilities
  • Willing to dive deeply into any level or layer of a problem.
  • Willing to learn emerging technologies, from hardware to software. Evaluate and make recommendations that advance Azure infrastructure for AI and other GPU-based workloads.
  • Leads by example within the team by producing extensible and maintainable code. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).
  • Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices.
  • Maintains communication with key partners across the Microsoft ecosystem of engineers. Ensures alignment with partners' expectations. Considers partner teams across organizations and their end goals for products to drive and achieve desirable user experiences and fit the dynamic needs of partners/customers through product development.
  • Drives identification of dependencies and developing design documents for a product, application, service, or platform.
  • Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
  • Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on calls to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status, and initiating actions to restore system/product/service for simple and complex problems when appropriate.
  • Your mission will be to help ensure the Azure platform is consistent in performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from customer workloads. You will help build a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.

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