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.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- developing tools or software systems for distributed cloud computing environments and/or HPC/AI infrastructure
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, OR Python
- experience in data science, including work with machine learning models, statistical analysis, or data-driven product development, is strongly preferred.
Responsibilities
- Designing and delivering the next generations of AI training, AI inferencing, virtual desktop, video and gaming infrastructure for Azure.
- Define and drive an end-to-end vertical view, defining approaches and strategies across large organizations with continuous focus on customer value, quality, performance and automation.
- Defining, deploying and sustaining hardware and software Azure infrastructure for AI and other GPU-based workloads.
- 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.
- Leads by example within the team by producing extensible and maintainable.
- Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).
- Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Willing to dive deeply into any level or layer of a problem.
- Willing to learn emerging technologies, from hardware to software.
- Maintains communication with key partners across the Microsoft ecosystem of engineers.
- Acts as a key contact for leadership to ensure alignment with partners' expectations.
- 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
