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Software Engineer, AI Infrastructure at Meta
I have over 12 years of experience developing software for problems ranging from distributed systems to front end UIs. I'm passionate about architecting, building and operating massive-scale, high-availability distributed systems. I have a strong track record of delivering results, innovation, customer focus and leadership. I am a proven leader in fast-paced, agile environments, and I am enthusiastic about leading organizations to solve hard problems. I place an emphasis on simplicity and practical solutions while ensuring great quality. I also have extensive experience in: * Cloud architectures * Big data processing architectures * Extensible architecture supporting complex business logic * Extensible object-oriented design in Java * Concurrent programming and systems * Metrics, monitoring and alarming for operating high-availability, high-quality production systems
University of Washington
Bachelor of Science (B.S.), Mathematics and Computer Science
January 1, 2002 – January 1, 2006
Meta
Software Engineer, AI Infrastructure
October 1, 2015 – Present
Greater Seattle Area
Amazon Web Services
Sr. Software Development Engineer/Tech Lead, AWS Platform
June 1, 2009 – October 1, 2015
Greater Seattle Area
Amazon
Software Development Engineer, Infrastructure
July 1, 2006 – June 1, 2009
Greater Seattle Area
Amazon.com
Software Development Engineer Intern
June 1, 2005 – August 1, 2005
Greater Seattle Area
Cultural Fit Analysis
The candidate's long tenure at large, fast-paced tech companies like Amazon and Meta suggests a strong cultural fit for demanding, innovative environments. Their experience leading diverse initiatives and mentoring engineers indicates a collaborative and growth-oriented mindset. The breadth of their experience across infrastructure, commerce platforms, and AI aligns well with a senior Big Data Engineer role that often requires cross-functional collaboration and broad technical understanding.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, problem-solving, and mentorship skills through their extensive experience at Amazon and Meta. Their ability to lead cross-organizational efforts, manage high-pressure timelines, and improve team posture indicates excellent operational fit and resilience. Experience as an Amazon Bar Raiser also suggests strong interviewing and evaluation capabilities.