Build at a scale that changes the problem. Deploy, extend and operate multi-petabyte MPP — StarRocks, ClickHouse, Trino/Presto, Spark, Druid, Kusto.
Go deep into database internals. Work on query execution, vectorized processing, cost-based optimization, and columnar storage formats such as Parquet and Arrow, and understand these engines from the inside out.
Work across the stack and across languages. Move between services in Python, Java, and Go and performance-critical native code in C++ — deep expertise in any single language isn't expected, just a readiness to follow the problem wherever it leads.
Engineer the lakehouse on cloud infrastructure working with open table formats (Delta Lake, Iceberg, Hudi, Paimon) and build on cloud services and container orchestration with Kubernetes.
Practice AI-native engineering. Use AI-assisted development and agentic tooling as part of the daily workflow, build AI directly in decision-making systems and operations, and help define how the team uses it on real production systems.
Own components and partner for impact. Shape architecture, make build-vs-adopt decisions, and own components end to end while partnering with data scientists and product managers on data that shapes decisions for hundreds of millions of Windows users.
Required Qualifications
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
OR equivalent experience.
Preferred Qualifications
3+ years of proven coding and debugging skills in object-oriented languages. C#, C++, Java, or equivalent.
Practical experience with Kubernetes, StarRocks, Clickhouse, Kafka, Flink, Trino, real-time/NRT systems, open-source data platforms.
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Experience with cloud platforms and services, such as Azure, etc.
Ability to collaborate effectively with teammates and work successfully in a group environment.
Data science, experimentation, or model-building adjacent experience.
Experience in designing, developing, and shipping code with secure continuous integration and continuous delivery practices (CI/CD).
Experience with data streaming, data modeling, data warehousing, and ETL (extract/transform/load).
#W+DJOBS
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.
About Microsoft
Software & SaaS223000 employeesFounded 1975
Multinational technology corporation providing software, cloud, and AI solutions.