Senior Software Engineer
Microsoft
Senior Software Engineer
Multiple Locations, United States
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Overview
The Azure Core Storage team powers the backbone of Azure Virtual Machines by delivering the Storage Virtualization platform that handles trillions of input/output operations every day across hundreds of datacenters and thousands of clusters worldwide. Our work ensures reliability, scalability, and performance at a global scale.
As a Senior Software Engineer on the Azure Core Storage team, you will design and implement advanced software for this platform. This role offers the opportunity to work on complex distributed systems and contribute to innovations that impact millions of customers worldwide.
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.
Qualifications
Required 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++ or Rust.
- OR equivalent experience.
- 2+ years of experience in Kernel and Driver Development on Windows/Linux.
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:
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Rust.
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Rust.
- OR equivalent experience.
- 2+ years of experience with storage interfaces and protocols, including NVMe and SCSI, as well as virtualization technologies.
- 2+ years of experience in kernel-mode development and debugging, with a focus on Windows or Linux driver environments.
- 1+ year of experience working with Azure or equivalent cloud services, such as Data Explorer, Azure Portal, Disks, Storage, and Virtual Machines, including shipping and maintaining high-reliability cloud storage services.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
Microsoft will accept applications for the role until November 1, 2025.
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Responsibilities
- Design and develop system software that manages storage services in Azure.
- Ensure that services and components are designed with appropriate telemetry and health signals to enable remote monitoring and debugging.
- Rapidly deploy cloud-scale solutions and monitor health through telemetry.
- Drive for quality in everything you do and continuously improve the quality of the systems you work on.
- 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.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.