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Software Design Engineer
Redmond, WA
Job Description
OverviewAre 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.
ResponsibilitiesDesign 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 and Values
ResponsibilitiesDesign 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 and Values
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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