Senior Software Development Engineer

About the role

Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering trusted experiences to customers and partners worldwide and we are looking for a Senior Software Development Engineer to help achieve that mission.

The team partners across hardware, firmware, software, and operations to improve cloud infrastructure availability and enable next-generation systems. Microsoft also contributes to industry efforts such as Project Olympus and the Open Compute Project to accelerate open hardware innovation.

We are looking for a Senior Software Development Engineer to build and operate large-scale cloud infrastructure systems that power Azure. In this role, you will work on a full stack that manages and monitors cloud hardware across hyperscale environments, driving improvements in reliability, availability, and performance by leveraging data science coupled with cutting edge AI capabilities to improve efficiency as we scale innovative hardware solutions that power Azure. From driving integration of the latest AI developer tools to building new AI applications to streamline fleet management and quality improvement, this role is about innovation at scale as we strive to make our world-class infrastructure even better. This hands-on role will provide technical leadership across the organization and on a growing team tasked with accelerating our productivity and processes so that every developer can achieve more. To be successful in this role you must have a great track record of delivering quality results to customers, an engineering mindset, an innate aptitude for agility, and technical excellence in software engineering.

Responsibilities Develop tooling to enhance our working knowledge of control plane systems, services and tools leveraging existing and new data sources. Using data science to provide key business insights. Develop and enhance device telemetry, health monitoring, hardware health signal processing, and automated remediation workflows. Drive live-site excellence through monitoring, debugging, root cause analysis, repair loops, and continuous service reliability improvements. Collaborate with hardware, firmware, platform, and partner teams to deliver end-to-end solutions across hardware-software boundaries. Translate customer and production feedback into feature enhancements, bug fixes, reliability improvements, and supportability investments.

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, JavaScript, 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 Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.