Software Engineering Manager

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Azure is Microsoft’s central cloud infrastructure, supporting both public cloud offerings and a wide range of internal, cloud-scale services. As cloud computing continues to grow rapidly and remain highly competitive, Azure aims to lead across all dimensions of its platform and services. Within Azure, the Azure Compute team is responsible for hosting virtual machines (VMs), containers, and other workloads that power this infrastructure.

A key discipline in cloud computing is capacity management. This involves ensuring that sufficient capacity is available across all regions, allocation domains, and hardware infrastructure to meet customer demand, while also provisioning resources efficiently to avoid unnecessary costs and capital expenditures (CAPEX). At Azure’s scale, managing this balance across the entire compute fleet is a complex challenge—one where even small improvements can significantly impact customer satisfaction and cost savings.

As a Software Engineering Manager on the Azure Compute Capacity and Efficiency (AC2E) team, you will lead efforts to manage capacity and efficiency across the platform. Our goal is to deliver a fully automated and optimized tracking and management system, with the Capacity Management Automation System (CMAS) at its core. This system leverages advanced algorithms and artificial intelligence to predict capacity risks and implement mitigation strategies directly within the Azure Compute platform. You will collaborate with engineers, program managers, and data scientists to define business problems and deliver end-to-end solutions. Your leadership will help shape strategic decisions, improve service fulfillment, and drive efficiency metrics such as cost of goods sold (COGS) reduction. The team applies techniques like anomaly detection, machine learning, and experimentation to solve real-world challenges at scale.

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 discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Azure Cloud Services development experience, or related.
• Experience with Programming skills (esp. related to data technologies like Python, PERL, Java, C#, etc.), and relational databases (Kusto, SQL or similar).

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 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 technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• People management experience.
• Experience with Globally Distributed cloud systems with focus on quality and scalability while working across data science and software development boundaries.

#azurecorejobs

• Modeling, coaching, and caring for employees and peers, helping everyone grow in their careers while contributing to team culture and apply best practices in your day to day work.
• Promote cross group collaboration, working across boundaries and building partnerships with stakeholder teams.
• Delivery of technical solutions with an appropriate balance of risk taking and prioritization.
• Lead by example, engage in discussions on the architecture of products or solutions, and apply engineering principles to establish robust and maintainable architecture and designs.
• Driving engineering improvements and rigor within the team as well as with stakeholders.
• Understand platform capacity constraints and work with teams across Azure to improve capacity manageability and efficiency.
• Drive improvements to the product design and architecture, leading to increased customer satisfaction