Senior Software Engineer

Senior Software Engineer

Azure Core Compute is growing incredibly fast! We provide millions of virtual machines for customers to run their services in the cloud. We are a globally available foundational service that hosts services with the scale of Bing/Skype/AzureStore/SQL, host millions of multiplayer gaming sessions and allow solving large computational problems in seconds.

Azure Compute team is the "kernel" of Microsoft's Cloud OS. The Azure Computer Manager is the "kernel" of the Microsoft Compute Cloud. We build a fault tolerant distributed system on top of commodity datacenter hardware, to deliver an infrastructure for hosting cloud applications in virtual servers. We create an illusion that resources are limitless, infinitely elastic, and always available. The team is working on few different areas that you can have a big impact. This includes; projects improving cluster scale and density- this includes capabilities and mechanisms for large service footprints, managing 20x more physical machines and services than it does today, schemes to improve VM density, reducing cluster fragmentation, increase utilization of compute cores. We are building a set of highly scalable, highly available, micro services that will be the next generation of the Compute Fabric and provide service management for all Azure Compute services.

We are looking for a Senior Software Engineer to join our exciting Azure Compute Team. Azure Compute provides millions of virtual machines for customers to run their services in the cloud. We are a globally available foundational service that hosts services at planet scale, host millions of multiplayer gaming sessions and allow solving large computational problems in seconds. Azure Compute team is the "kernel" of Microsoft's Cloud OS. The Azure Computer Manager is the "kernel" of the Microsoft Compute Cloud. We build a fault tolerant distributed system on top of commodity datacenter hardware, to deliver an infrastructure for hosting cloud applications in virtual servers. We create an illusion that resources are limitless, infinitely elastic, and always available. The team is working on few different areas that you can have a big impact. Projects involve building large scale services to provide prioritization of capacity to different segments of customer at scale with high reliability and availability taking real time capacity signals and using machine learning based models to improve utilization of compute cluster capacity. The team is also embarking on an exciting new journey to build new features and microservices to tackle fraud to ensure Azure capacity is prioritized to the right customers and provide high availability and reliability of azure platform. We are also building new microservices to extend the capabilities of the Compute billing pipeline to scale up to the growth that Azure Compute expects over the next 5 to 10 years by rearchitecting and building the entire billing pipeline. The current billing pipeline already scales to serving billing for hundreds of millions of Compute resources every hour. The new services that we are building extend the capabilities multifold. The approach here is multipronged. It involves algorithmic investments, deep involved architectural/protocol changes to improve parallelization or eliminate steps in the workflow and finally smart innovative solutions to pre-process as much of the work as possible and to be able to do the remaining in seconds to get VM ready for customers. We are a result-oriented team working vertically through the whole stack to deliver order of magnitude improvements.

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

• Passionate about solving large-scale engineering challenges and delivering high-quality, reliable services.
• Comfortable working across the full technology stack with end-to-end systems perspective.
• Designs solutions with a focus on availability, security, scalability, performance, fault tolerance, and disaster recovery.
• Leverages AI-assisted development tools and practices to improve engineering productivity, code quality, and innovation.
• Uses telemetry, monitoring, and data-driven insights to continuously improve service health and customer experience.
• Builds cloud-native solutions using containers, microservices, REST APIs, NoSQL databases, and Big Data technologies.
• Thrives in an Agile environment with continuous delivery, rapid iteration, and weekly sprint execution.

Qualifications

Required 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, .NET, or Python OR equivalent experience

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:

• 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#, Java, .NET, 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#, Java, .NET, or Python OR equivalent experience
• 6+ year of implementing REST APIs and micro-services
• Experience with source control and build systems
• Experience handling multiple workstreams in parallel
• Experience working on large scale distributed systems
• Experience leveraging AI and building solutions at scale