Senior Software Engineer

Microsoft • ,

12h • $119,800 - $261,000

About The Position

The Azure Cloud Native Platform organization builds the distributed systems that power virtual machines and large-scale applications across Microsoft Azure. These systems operate at global scale and provide customers with reliable, elastic, and efficient access to compute capacity. The Azure Compute Fleet team is building a platform that helps customers provision and manage compute capacity across virtual machine sizes, availability zones, pricing models, and Azure regions. Azure Compute Fleet can distribute workloads across multiple regions, helping customers reduce their dependency on any single region, improve capacity resiliency, and deploy compute where it is available. Multi-Region Compute Fleet supports scenarios such as stateless services, large batch jobs, data processing, and continuous integration workloads. As a Senior Software Engineer, you will lead the design and development of a new solution that orchestrates Virtual Machine Scale Sets across Azure regions. The solution will help applications move beyond region-specific infrastructure by coordinating capacity, placement, scaling, and lifecycle operations across multiple scale sets and regions. You will work on complex distributed-systems problems involving regional capacity constraints, fault isolation, control-plane reliability, asynchronous orchestration, and safe recovery from partial failures. You will partner with teams across Azure Compute, networking, capacity management, and application platforms to define the architecture and deliver the solution incrementally. This role provides an opportunity to build a foundational Azure capability that helps applications remain available and continue to scale when a region experiences capacity constraints or service disruption. 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.

Requirements

• 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 equivalent experience.
• 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.

Nice To Haves

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 4+ years of experience of designing, building and shipping high quality system software.
• Experience building highly available and fault-tolerant distributed systems.
• Experience leveraging AI, machine learning, large language models, or Agentic AI systems to improve engineering productivity, service operations, diagnostics, or customer experiences.
• Experience building cloud services, platform infrastructure, control-plane systems, or highly available backend services operating at hyperscale.

Responsibilities

• Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets (VMSS) across multiple Azure regions, improving capacity resiliency and reducing regional dependencies for customer applications.
• Design distributed control-plane services, APIs, and orchestration workflows for capacity placement, scaling, failover, and lifecycle management of large-scale compute resources across regions.
• Drive adoption of AI and Agentic AI across engineering workflows by reimagining existing processes, automating operational tasks, improving diagnostics, accelerating root-cause analysis, and increasing engineering productivity through intelligent agents.
• Partner with teams across Azure Compute, Capacity, Networking, and Platform Services to define technical strategy, influence architecture decisions, and deliver end-to-end customer solutions.
• Serve as a Designated Responsible Individual (DRI), participating in on-call rotations, leading live-site mitigation efforts, and driving improvements in reliability, observability, performance, and operational excellence.

Benefits

• The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior