Manuel Stuefer is a pragmatic software engineer and technical leader with 11 years of experience building high-performance backend and infrastructure systems across startups and major tech firms. Currently at Google, he develops core RPC libraries used broadly across services and previously drove SRE improvements for Google Search, where he led monitoring-by-convention adoption and mentored interns. His background includes scaling mission-critical systems at Booking.com—designing an in-memory HelpCenter that handled full traffic in 48 hours—and leading a 15-person international team to deliver a 10x faster Azure backend. Trained in data and knowledge engineering with additional study in data science and self-driving systems, he blends distributed-systems rigor with practical operational instincts. Known for turning performance and reliability challenges into repeatable conventions, he brings a hands-on engineering mindset paired with experience in cross-functional leadership.
11 years of coding experience
17 years of employment as a software developer
Self-Driving Car Engineer, Self-Driving Car Engineer at Udacity
High School Electrical Engineering and Automation, High School Electrical Engineering and Automation at Max Valier Bolzano
Master's Degree Data and Knowledge Engineering, Master's Degree Data and Knowledge Engineering at Free University of Bozen-Bolzano
DAS Data Science (Specialization: Machine Learning & AI), DAS Data Science (Specialization: Machine Learning & AI) at ETH Zürich
Vocational School Business Administration and Management General, Vocational School Business Administration and Management General at Handel und Grafik Johannes Guttenberg
Contributions:28 commits, 23 pushes, 1 branch in 1 month
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