The Experimentation Team at Microsoft, under Azure AI Platform, aims to accelerate software innovation through trustworthy experimentation. We build one of the largest experimentation platforms on the planet, ExP, used by teams across Microsoft like Azure, Xbox, Windows, Office, Bing, MSTeams, VSCode, etc. to make data-driven decisions through A/B testing. The ExP platform enables customers answer questions like: What factors affect the quality of the Bing user experience? What causes users to make a first payment with XBox? How does a new Outlook feature impact Office’s business metrics?
As a Software Engineer II of this team, you will get the opportunity to:
- Push the envelope for how data is leveraged and change the way software is built.
- Work in an agile and diverse engineering team, closely partnering with world-class data scientists with leadership that will help you grow your career.
- Help evolve the ExP platform into an Azure offering.
Visit https://www.microsoft.com/en-us/research/group/experimentation-platform-exp/ for more information about the ExP Platform including videos, articles and publications.
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.
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.
- 1+ year(s) of experience with big data frameworks (e.g., Spark).
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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred 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 Master'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.
Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Microsoft will accept applications for the role until January 28, 2025
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Design and build new global-scale services and tools in Microsoft ExP platform.
- Design and build state-of-the-art stats engines to help produce trustworthy scorecards for customers.
- Build and optimize efficient scorecard computations on top of popular big data frameworks like SCOPE, Spark, Kusto, ClickHouse, etc.
- Collaborate with data analysts and cross-functional teams to understand AB stats methodologies and turn them into platform capabilities.
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