Software Engineer 2 at Microsoft

Software Engineer 2 Details

Jan. 23, 2019, 6:26 p.m.
Individual Contributor
Redmond, WA
Windows Currency team Windows Currency team
The Windows Currency team is responsible for keeping 2+ Billion happily engaged, connected and up-to date Windows customers. The Update Platform team is responsible for the client-side components of this machinery. A critical component of operating that infrastructure is measuring how the update stack is doing in-market; driving visibility into its performance, reliability and quality and holding the various components of the stack accountable; and utilizing the insights drawn from in-market and pre-release experimentation to drive future investments. The Update Platform Insights team is tasked with driving that charter. This position will provide challenging opportunities to design, architect and implement solutions in realizing the Windows as a Service vision.

The ideal candidate for this position brings with them expertise and experience working with Big Data to drive targeted insights . The team needs to be able to measure more holistic top-level KPIs as well as the efficacy of various features in pre-release/flighting and in retail. When things are not working as expected, help drive that to closure with the team responsible. That will require working with peer teams in your organization and with cross-group partner teams. Dealing with data at scale , from the entire Windows ecosystem requires a unique skill set to navigate but it also opens up a
Preferred Qualifications: 3+ years of experience in Software Engineering Bachelor's Degree in Computer Science or equivalent experience Experience with relevant programming and scripting languages (such as C#, Scope, SQL, Python, R) Experience with A/B testing and experimentation, an ability to analyze data in a mathematical and scientific structure, and an understanding of Machine Learning models and its applicability are a plus Hands-on experience on with big data infra (Azure, Spark, etc.), telemetry systems (Geneva, Asimov, etc.), log analysis, text pattern mining and data visualization (such
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