Jerry Pan
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.