Senior Software Engineer at Microsoft

Senior Software Engineer Details

Jan. 31, 2019, 6:40 a.m.
Individual Contributor
Bellevue, WA
AI/Machine Learning and
Excited to be a part of Microsoft's data-driven transformation? Everywhere we look, information is being captured, quantified, and used to make business decisions, for AI/Machine Learning and improving products. Microsoft is at forefront of this data revolution to make decisions, train models and learn across its entire product portfolio. If you like challenges and want to develop advanced big data solutions that scale to petabytes of data and help Microsoft ship better, smarter and more innovative products by generating rich data-driven insights supported by these solutions, then this is your ideal opportunity. We are the DataSets team in the Cloud and AI platform group. We build simple and innovative solutions to address large scale and challenging data problems and have a significant business impact on products that ship across all Microsoft groups. We understand data requirements, collaborate with data producers to instrument and collect the right data signals, build scalable (batch

We seek smart, highly innovative experienced engineers to forge the path ahead for big data sets, run data pipelines with 24x7x365 service availability and tight SLA and build comprehensive and intuitive end-end solutions to delight our customers. Architect, design and develop large-scale and high-quality batch/streaming data and experimentation services with easy to use APIs. Enhance systems and applications to ensure high stability, efficiency and maintainability. Develop and foster a deep understanding of the data systems and semantics and its usage by our customers. Leverage this understanding
Bachelor's degree or higher in Computer Science or related fields. At least 5 years (Preferred: 7 years) of professional software development experience. Expert coding skills in C#, C++, Java or equivalent. Deep understanding of efficient data algorithms and excellent data analytical skills. Ability to drive technical investigations and prototyping in a fast-paced startup environment A strong sense of curiosity and a willingness to learn, share and improve. Strong expertise and experience on design and development of platforms, metric systems, or online experimentation systems with a track record
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