Are you interested in working in an exciting cloud space where you build data-driven systems, are a part of a supportive team where new ideas and innovation are highly encouraged, and your work is highly impactful to all of Microsoft Azure and enterprise services built on Azure? Then this position might be the right fit for you! Azure is Microsoft’s central cloud infrastructure hosting both our public cloud offerings as well as a vast number of Microsoft-internal cloud scale services. Cloud computing is a rapidly growing market, and it is Azure’s aim to be an industry leader in all relevant aspects and dimensions across its platform and services. Within Azure, the Azure Compute team is the core infrastructure team responsible for hosting VMs, containers, and other workloads.

One of the fundamental core disciplines in cloud computing is capacity management. Capacity management needs to ensure that on the one hand, there is sufficient capacity across all regions, allocation domains, and hardware infrastructure to meet all customer demands, while on the other hand ensuring that capacity is provisioned efficiently thereby avoiding overspending and COGS/CAPEX impact. At the scale of Azure’s business, managing this trade-off across the entire Azure Compute fleet is an enormously complex task, where improvements can make the difference between customer allocation failures on the one hand, and gargantuan savings on the other. The Azure Compute Capacity and Efficiency (AC2E) team is the team in Azure Compute tasked with managing all aspects of capacity and efficiency management across the fleet. Our primary task is to provide a fully automated and highly optimized tracking and management system. This system – of which CMAS (Capacity Management Automation System) is a core piece – uses numerous state-of-the-art algorithms. We use artificial intelligence to automatically predict capacity risk and execute the correct mitigation actions directly into the Azure Compute platform.

As a Software Design Engineer, the value of your work will be reflected as improvements to the Azure platform, Azure service capacity fulfillment rate, customer satisfaction, and various efficiency metrics, including COGS reduction. Our team is a balanced team of data science and development engineers, and we work very closely with our partners in the program management team. We heavily engage in using state-of-the-art data science/applied statistical techniques like anomaly detection, machine learning, and experimentation methodologies, and if you are interested in such techniques and their applications to highly complex real-world problems, you will fit right into our team. Collectively, we deliver world-class innovation.

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 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.

• 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.

• Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required Qualifications:

• 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.

• Proficiency with relational databases esp. related to data technologies (SQL, Kusto, etc.) is a big plus.

• Experience working across the boundary between data science and software engineering is a big plus.

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.

Additional / Preferred Qualifications:

• Bachelor's Degree in Computer Science

• OR related technical field AND 2+ years technical engineering experience with any of the following: C#, Python, JAVA, C++, and proficiency with relational databases esp. related to data technologies (SQL, Kusto, etc.)

• OR equivalent experience.

• Hands-on industry experience working on cloud or cloud infrastructure-related problems is a big plus.

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $76,400 - $151,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $100,300 - $165,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay (https://careers.microsoft.com/v2/global/en/us-corporate-pay.html)

Microsoft will accept applications for the role until May 22, 2024.

#Azurecorejobs

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .