In Azure Specialized we are collaboratively working to bring the next generation of workloads to our Public Cloud platform. We work together across Microsoft to enable end to end new scenarios for Azure customers. Our team imagines and builds differentiating customer features and fundamental building blocks at the heart of the Azure platform working collaboratively with many industry partners.

As a Software Engineer, you will be critical in designing and delivering the next generations of AI training, AI inferencing, Virtual Desktop, Video and Gaming infrastructure for Azure. You will be challenged across a wide spectrum of hardware architectures, network types and processor types. You will be part of a team delivering end-to-end vertical view, with continuous focus on customer values, quality, performance and automation.

This position involves deep technical work, focusing on defining, deploying and sustaining hardware and software Azure infrastructure for AI and other GPU-based workloads. The work for this position focuses on hardware/software interaction, coding and playing with next-gen hardware, end-to-end systems engineering anywhere in the infrastructure - from fiber networking, switches, GPU differentiation, rack design, cluster design and more. This position offers a unique opportunity to have a huge impact on customers and the world. It is an exciting time for the team as we are working on expanding the capacity and range of supported scenarios to support the next 100X growth.

We are looking for someone who is passionate about quality, wants the customer to succeed and get things done. You will join a phenomenal team of hardworking engineers with deep experience with replication systems, highly available systems, large scale algorithms, dynamic and high-performance solutions at massive scale. You should be willing to dive deeply into any level or layer of a problem, and excited about learning emerging technologies, from hardware to software. Your mission will be to help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads. You will help building a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.

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.

• With guidelines, learns to produce extensible and maintainable code. Learns and applies knowledge to optimize, debug, refactor, and reuse 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.
• Evaluates and makes recommendations that advance Azure infrastructure for AI and other GPU-based workloads.
• With guidance, takes participation in identification of dependencies and the development of design documents for a product, application, service, or platform.
• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook. Escalates more complex problems to other DRIs as to status. Responds within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners.

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python,
  • OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ year(s) 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 with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python,
  • OR equivalent experience.

#azurecorejobs #EiP #IC2SWE

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.