M365 Big Data Optimization team is hiring a Software Engineer to work on big data efficiency improvements for M365 worldwide.
Hundreds of millions of global customers use M365 products every day. The engineering, telemetry and signals, datasets behind this are at world’s largest scale: 800+ PB storage and a million CPU cores. There are various kinds of data platforms and systems working with each other to deliver efficient services. We provide large scale and unified datasets, span our portfolio for M365 world-class products and applications, collaborate with data scientists/product teams/sales/marketing teams to gain more product insights, maximize customer value, and reduce cost.
Our team manages this huge and critical big data capacity and platform, we continuously optimize this giant storage & processing resources for M365 worldwide. We have achieved 200 million dollars cost reduction in the past few years and have accumulated a wealth of technical experience in distributed storage and processing fields. By joining us, you will also become experts on big data efficiency, and share your best practices with thousands of M365 engineers all over the world. There are lots of opportunities and challenges that you can show your passion and talents in big data, improve the efficiency and reliability of the systems, pursue engineering excellence, and make tremendous influence!
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 and build highly efficient, lower cost dataset for storage and pipeline for processing.
- Research, analyze, and investigate optimization opportunities on Office365 Big Data platform.
- Ensure Office365 capacity stay in allocated quota by optimization in both storage and processing.
- Design tools, analyze and leverage data mining, generate BI reports to improve the efficiency of data capacity & resource management.
- Leverage AI technologies/tools to enhance work efficiency—applying machine learning and intelligent automation to streamline processing and uncover optimization opportunities.
Qualifications
Required Qualifications:
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Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
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Solid Computer Science fundamentals.
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Solid coding skills (no language restrictions).
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Experience on design/development with C#/SQL Server/ASPX/JavaScript/Azure.
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Quick learning and solid problem solving, design, coding, and debugging skills.
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Communication in English: reading, writing, listening, and speaking.
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Cross-team collaboration skills.
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Accountable and proactive.
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Data pipeline and optimization knowledge is a plus.
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Experience with distributed system is a plus.
- Experience or strong interest in leveraging AI to improve engineering efficiency, such as automating workflows, enhancing tooling, or identifying optimization opportunities.
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.
Preferred Qualifications:
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Bachelor's Degree in Computer Science
- OR related technical field AND 1+ year(s) 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 with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
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