Requirements:

BS in Computer Science or equivalent
2+ years of software development hands-on industry experience working on cloud infrastructure-related problems with impact on critical product and business decisions
Azure Cloud Services development experience, or related
Programming skills (esp. related to data technologies like Python, PERL, Java, C#, etc.), and proficiency with relational databases (Kusto, SQL, or similar)
Good understanding of a modern state-of-the-art cloud platform, and related technologies
A proven track record of collaborating across organizational boundaries and delivering great results
Comfortable to work across the boundary between data science and software engineering

Nice to Haves:

Master's Degree in Computer Science or related field
1+ years software development experience or equivalent experience
Experience with Globally Distributed cloud systems with focus on quality and scalability
Experience with working across data science and software development boundary

Design new tools and processes to enable better data modeling, analysis, and experimentation for capacity across Azure
Understand platform capacity constraints and work with teams across Azure to improve capacity manageability and efficiency
Build models, simulations, scalable and automated analytical systems and data mining frameworks to derive profound insights into the Azure Compute platform and its efficiency and capacity
Drive improvements to the product design and architecture, leading to increased customer satisfaction
Lead and collaborate with experts from across the company to advance capacity management, capacity planning, and efficiency
Contribute to the team culture and apply best practices in your day-to-day work

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work