Software Engineer II

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Azure is Microsoft’s central cloud infrastructure hosting both public cloud offerings and a wide range of Microsoft-internal cloud-scale services. Cloud computing is a highly competitive and rapidly growing market, and Azure aims to be a leader across its platform and services. Within Azure, the Azure Compute team provides core infrastructure for hosting virtual machines (VMs), containers, and other workloads.

Capacity management is a critical discipline in cloud computing. It ensures sufficient capacity across regions, allocation domains, and hardware infrastructure to meet customer demand while optimizing efficiency to avoid overspending and reduce cost of goods sold (COGS) and capital expenditures (CAPEX). At Azure’s scale, managing this balance across the entire compute fleet is complex, where improvements can prevent allocation failures and deliver significant savings.

The Azure Compute Capacity and Efficiency (AC2E) team manages all aspects of capacity and efficiency across the fleet. Our primary goal is to provide an automated and optimized tracking and management system. This system, including the Capacity Management Automation System (CMAS), uses advanced algorithms and artificial intelligence (AI) to predict capacity risks and execute mitigation actions directly within the Azure Compute platform. As a member of the team, you will collaborate with engineers, program managers, and data scientists to define business problems and deliver solutions from design to production, influencing strategic decisions that impact capacity and efficiency.

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) experience in Azure Cloud Services development experience and relational databases (Kusto, SQL or similar).
• 1+ year(s) experience in understanding modern, state-of-the-art cloud platforms and associated technologies, with a proven ability to collaborate across organizational boundaries to drive optimal outcomes.
• 1+ year(s) experience working with the boundary between data science and software engineering

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:

• 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.
• 1+ year(s) experince with Globally Distributed cloud systems with focus on quality and scalability.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

Microsoft will accept applications for the role until October 23, 2025.

#azurecorejobs

• 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.