Senior Software Engineer(SWIQ Performance… at Microsoft · Shanghai

Overview
Microsoft 365 and Copilot run on Substrate & Work IQ (SWIQ)—the trusted data and intelligence platform powering service health, operational excellence, business insights, and AI-driven decision making across Microsoft's largest cloud services. As Microsoft 365 and Copilot continue to grow at unprecedented scale, SWIQ provides the foundational intelligence that connects product experiences, infrastructure, operations, and business outcomes, enabling teams to build, operate, and innovate with confidence.
The SWIQ Performance Team is hiring a Senior Software Engineer to help build and scale the intelligence platforms that power Microsoft 365 and Copilot economics. You will develop trusted systems that connect product usage, service dependencies, infrastructure consumption, operational telemetry, and Finance-aligned cost models into a unified economics foundation. These platforms enable engineering, finance, and business teams to understand cost drivers, optimize investments, and make data-driven decisions at cloud scale.
In this role, you will lead the design and delivery of scalable distributed systems and intelligence solutions that transform complex operational and business signals into actionable insights. You will partner across engineering, product, and business teams to improve visibility into the relationships between cost, quality, reliability, efficiency, and customer value across rapidly evolving Copilot and AI-powered experiences.
You will also help advance AI-native transformation by applying agents, intelligent automation, and machine-assisted decision making to improve operational efficiency, identify optimization opportunities, and accelerate engineering outcomes.
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 deliver scalable platforms that connect operational telemetry, product usage, infrastructure consumption, and financial data into trusted intelligence and decision-support systems.
Drive architecture, implementation, and operational excellence for large-scale cloud services that power Microsoft 365 and Copilot economics insights.
Develop solutions that improve visibility into cost drivers, resource efficiency, service dependencies, and business outcomes, helping teams make data-driven decisions.
Apply AI, agents, and intelligent automation to streamline operational workflows, identify optimization opportunities, and improve engineering productivity.
Partner across engineering, product, finance, and business teams to translate complex requirements into scalable platform capabilities and measurable business impact.
Lead technical initiatives, influence architecture decisions, and drive adoption of shared platform capabilities across multiple teams.
Improve platform reliability, observability, data quality, and operational efficiency through engineering best practices and automation.
Contribute to technical excellence, and help establish reusable patterns and capabilities that increase organizational effectiveness.

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 building scalable software systems that process large volumes of data.
Demonstrated ability to drive complex technical initiatives from design through production deployment and measurable results.
Solid software engineering fundamentals, including distributed systems design, cloud architecture, reliability, scalability, and operational excellence.
Experience collaborating across teams and disciplines to solve ambiguous technical problems and deliver customer and business value.
Experience leveraging data, analytics, observability, or AI technologies to improve service performance, operational efficiency, or business decision making.
Passion for AI-native engineering and automation, including applying intelligent systems to improve engineering productivity and operational effectiveness.
Proven ability to contribute to a culture of technical excellence, ownership, and continuous improvement.
Experience with FinOps, Cost of Goods Sold (COGS), business intelligence, capacity planning, or cloud economics.
Experience building and operating large-scale cloud platforms, data platforms supporting mission-critical services.
Experience with large language models (LLMs), agent platforms.
Experience developing data-driven insights platforms.
Experience establishing engineering standards, operational practices, automation frameworks, or governance models for cloud-scale services.

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.
Insights from previous hires
Top skills: Model Post-Training, Large Language Models (LLM), Digital Signal Processing, Diffusion, Deep Learning, Aws, Algorithms, Agile Methodologies, Acoustics, Academic Achievement
Common previous titles: Principal Data Scientist, Engineer, Scientist, Senior Scientist, Tech, Technical, Senior Architect, Senior Data Scientist, Solution Engineer, Senior Data Engineer