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Senior Software Engineer

Microsoft
remote work
United States, Washington, Redmond
Jan 22, 2025
OverviewMicrosoft is experiencing unprecedented cloud growth, and the Cloud Operations + Innovations organization (CO+I) builds and maintains the datacenters Microsoft uses worldwide. Automation is key to sustain this growth, and our team specializes in using both conventional Artificial Intelligence/Machine Learning (AI/ML) techniques and Large Language Model (LLM) to achieve a level of automation that would not be attainable with more traditional software engineering. These intelligent systems work across multiple specializations in the datacenter space. For example, they empower technicians in datacenters to service computers more rapidly and with greater accuracy and greater impact using the collective intelligence of other technicians worldwide. As a Senior Software Engineer, you will specialize in creating backend software and user interfaces to create AI assistants and automated workflows. On the front end we use React, and on the back end we use combinations of LLM's, Python, C#, Numpy, Pandas, TensorFlow, Kubernetes, Azure, web services, Linux, databases, vector databases, and other cloud technologies and libraries. You will collaborate with data scientists, customers, other engineering teams and datacenter personnel to create integrated systems that accelerate the business and delight users. *This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ.*Relocation support will be provided, and successful candidates must relocate or reside within 50 miles of the hub office location.*This role is eligible for hybrid or remote work, up to 100%.
ResponsibilitiesCollaborates with appropriate stakeholders to determine user requirements for a scenario.Drives design and development of the service.Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).Collaborates with engineers, customers, data scientists and subject matter experts to determine approaches, implement and continuously improve solutions.Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.Proactively stays informed about the latest developments in the LLM and AI field to identify opportunities to apply new methods or technologies to improve while also monitoring and improving availability, efficiency and operations at scale.Embody our Culture and Values.
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