Senior Software Engineer(SWIQ Performance Team)
Software Engineering
Shanghai, China · Beijing, China · Suzhou, Jiangsu, China
Microsoft 365 and Copilot depend on some of the largest telemetry and data platforms in the industry. Every day, trillions of signals flow through systems such as Azure Storage, Cosmos, and Blueshift to power operational insights, reliability engineering and business intelligence across Microsoft's cloud services.
The SWIQ Performance team helps ensure these platforms remain efficient, scalable, and cost-effective as Microsoft 365 and Copilot continue to grow. Our work focuses on reducing infrastructure costs, improving resource utilization, and building intelligent systems that help engineering teams make better operational decisions at scale.
We're looking for a Senior Software Engineer who enjoys solving large-scale efficiency challenges. You'll work on opportunities ranging from storage lifecycle optimization and data footprint reduction to automated recommendation systems and AI-powered operational intelligence. The impact of this work is significant—small improvements at our scale can translate into millions of dollars in annual savings while improving the efficiency and sustainability of Microsoft's cloud infrastructure.
This role offers the opportunity to work across distributed systems, cloud infrastructure, data engineering, and AI-powered automation while partnering with teams across Microsoft 365 and Copilot.
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
Design and build services, and automation that improve the efficiency of large-scale telemetry and data-processing systems across Azure Storage, Cosmos, and Blueshift.
Identify opportunities to reduce infrastructure costs through storage optimization, data lifecycle management, resource utilization improvements, and capacity optimization.
Build intelligent recommendation and analytics solutions that help engineering teams discover, prioritize, and implement efficiency improvements.
Leverage AI and automation to simplify operational workflows, reduce manual investigations, and accelerate optimization efforts.
Partner with service teams across Microsoft 365 and Copilot to validate savings opportunities, drive adoption, and measure business impact.
Provide technical leadership through architecture reviews, design discussions, mentorship, and engineering best practices.
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.
- Experience delivering production software that improves reliability, scalability, performance, or operational efficiency.
- Proven ability to lead complex technical projects and drive results across multiple teams and stakeholders.
- Solid foundation in software engineering, distributed systems, data processing, cloud infrastructure, and performance optimization.
- Experience using automation, analytics, AI-powered tools, or data-driven approaches to solve operational or engineering challenges.
- Experience with Azure Storage, storage lifecycle management, or related storage optimization technologies.
- Experience with Cosmos, Blueshift, Kusto (KQL), Spark, or large-scale telemetry and analytics platforms.
- Experience building recommendation systems, AI-powered automation, agent-based workflows, or operational intelligence solutions.
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.