Senior Software Engineer -Azure Storage
Microsoft
Senior Software Engineer -Azure Storage
Multiple Locations, United States
Save
Overview
Microsoft Azure Storage is a highly distributed, massively scalable, and ubiquitously accessible cloud storage system designed to scale out and serve the entire world. Our Azure Storage team is building next generation enterprise storage solution with focus in performance, reliability, efficiency and security.
We are looking for a Senior Software -Azure Storage Engineer who is interested in developing and deploying distributed storage. As a Senior Software Engineer -Azure Storage you will have a chance to work on design, implementation, and optimizations of highly performant and massively scale out enterprise storage solutions. You will be involved in all phases of the storage lifecycle, design, implementation, test, deployment, and support. This opportunity will allow you to accelerate your career growth and hone your technical skills.
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++, C#, OR Java, JavaScript, or Python
- OR equivalent experience.
- 2+ years of experience in large scale distributed systems and concurrent programming.
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 8+ 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years of experience in large scale distributed systems and concurrent programming.
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 October 30, 2025
#azurecorejobs
Responsibilities
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
- Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.