Senior Software Engineer - Azure Storage at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

234700.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, Artificial Intelligence, Cloud Storage, Kubernetes, Networking, Performance Improvement, Data Availability, Data Durability, Engineering Leadership, Monitoring, Observability

Industry

Software Development

Description

Overview Drive innovation with the latest hardware and software technology for hyperscale cloud storage. Our Azure Storage team is building next generation storage solutions including for new workloads like Artificial Intelligence AI training and inferencing. We constantly strive to improve security, reliability, performance, and efficiency at tremendous scale. We continually evaluate opportunities to add new features into our storage services to enhance our ability to support AI workloads which are informed by supporting partners such as OpenAI. This is a great opportunity to grow your career and sharpen your technical skills. As a Senior Software Engineer - Azure Storage, you will build the scalable, distributed foundation for the world's most demanding AI workloads. You will drive innovation by leveraging RDMA for ultra-low latency networking and Kubernetes for cloud-native orchestration, ensuring our systems remain highly available and durable. This role offers the unique opportunity to integrate state-of-the-art hardware like DPUs into a global storage platform purpose-built for the next generation of AI. 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. Responsibilities Lead identification of areas of innovation to excel at support of Artificial Intelligence AI workloads for our leading customers. Identify critical performance, efficiency, data availability and durability improvements necessary across the portfolio of storage offerings. Determine necessary improvement plans and their priorities and document work needed, including any dependencies. Hands-on leadership of the engineering work needed to drive performance and efficiency improvements and to drive innovative new features. Partner with the engineering teams responsible for the different offerings to ensure adoption and success. Develop or partner to drive innovation to enhance data durability, availability and failure tolerance across the storage fleet while minimizing impact on performance and cost. Develop and document new ideas and prototype them in partnership with others as needed. Work with appropriate stakeholders (Leadership Team, Product Management) to drive new ideas to success. Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor systems/products/services for degradation, downtime, or interruptions. Proactively seek new knowledge and adapt 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. 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#, 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: 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 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 equivalent experience. 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Senior Software Engineer will lead innovation in supporting AI workloads and drive performance improvements across storage offerings. They will also mentor engineers and ensure system reliability and efficiency.