Microsoft 365 IC3 Data Platform is building governed data infrastructure for large-scale communication and collaboration scenarios. We are looking for a Senior Software Engineer in China to build a compliant Flink-based streaming processing platform on container technology, provide self-service experiences with agent assistance, and deliver key streaming scenarios on that foundation.
We are building a compliant Flink-based streaming processing platform on container infrastructure, with self-service and agent-assisted experiences that help teams onboard, govern, and operate streaming workloads. We will also dogfood the platform by building key streaming scenarios ourselves, including distributed tracing pipelines, near-real-time operational analytics, telemetry enrichment, and other high-value Microsoft 365 data workflows.
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, build, and operate a compliant Flink streaming platform on Kubernetes, Cosmic, Azure, or comparable container infrastructure.
Develop Flink processing scenarios on top of the platform, with focus areas such as distributed tracing, operational telemetry, and near-real-time data transformation.
Build platform primitives for Flink job lifecycle management, state, checkpointing, connectors, fault tolerance, scalability, cost efficiency, and multi-tenant operation.
Create self-service capabilities for data catalog, lineage, processing, governance, and agent-assisted data development.
Improve observability, diagnostics, distributed tracing, validation, and operational tooling so services are easier to debug and operate in production.
Partner with product, compliance, security, and infrastructure teams to turn platform requirements into practical designs and delivered services.
Write reliable production code, participate in design and code reviews, and use telemetry and incident learnings to improve platform quality.
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.
- 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 production distributed systems, cloud services, data platforms, or data pipelines.
- Ability to own engineering work from design through production operation, including quality, reliability, and maintainability.
- Production Apache Flink experience, including streaming pipelines, platform capabilities, state management, checkpointing, connectors, or performance tuning.
- Container platform experience with Kubernetes, Cosmic, Azure, or comparable infrastructure.
- Experience with Spark, Kafka, Airflow, distributed storage, analytical systems, or near-real-time data pipelines.
- Experience with data catalog, data lineage, data compliance, governance, privacy controls, or trusted data access patterns.
- Experience with Copilot, Agent, LLM orchestration, retrieval, evaluation, or agent-assisted engineering and data workflows.
- Domain knowledge in distributed tracing, observability, production diagnostics, telemetry systems, or service reliability.
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.
Skills Required
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience, or bachelor's degree and 8+ years of experience, or equivalent experience.
- Experience building production distributed systems, cloud services, data platforms, or data pipelines.
- Ability to own engineering work from design through production operation, including quality, reliability, and maintainability.
- Production Apache Flink experience, including streaming pipelines, platform capabilities, state management, checkpointing, connectors, or performance tuning.
- Container platform experience with Kubernetes, Cosmic, Azure, or comparable infrastructure.
- Experience with Spark, Kafka, Airflow, distributed storage, analytical systems, or near-real-time data pipelines.
- Experience with data catalog, data lineage, data compliance, governance, privacy controls, or trusted data access patterns.
- Experience with Copilot, agents, LLM orchestration, retrieval, evaluation, or agent-assisted engineering and data workflows.
- Domain knowledge in distributed tracing, observability, production diagnostics, telemetry systems, or service reliability.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
