Software Engineering II at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, HPC, Machine Learning, Deep Learning, AI Infrastructure, Distributed Systems, High Performance Computing, Profiling, Performance Analysis, Debugging, Refactoring, Code Optimization

Industry

Software Development

Description

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. Drives identification of dependencies and the development of 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 call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate. 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. Bachelor'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 Bachelor's Degree in Computer Science OR related technical field AND 5+ 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 3+ years 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 HPC or Machine Learning. Familiarity with Deep Learning, AI Infrastructure, Accelerators. 1+ years experience on Distributed Systems, High Performance Computing / Machine Learning middleware, Co-Designing Hardware-Software, Profiling and Performance Analysis Tools.

Responsibilities

The role involves optimizing and maintaining Azure infrastructure for AI and GPU-based workloads while ensuring performance and scalability. You will also lead by example in coding practices and help establish a test-driven engineering culture.