Summary
Phil Mcneely is a senior quality engineering leader with 25+ years of experience driving automation-first testing transformations and CI/CD platform roadmaps for high-stakes transactional and payment systems. He has built and scaled global engineering organizations of 60+ people, owned internal developer tooling and 24/7 pipeline reliability, and led AI-augmented test strategies that generate Playwright tests from UI flows and Jira/BDD tickets. Known for marrying data-driven quality analytics with pragmatic engineering, he embeds quality gates, telemetry, and DORA-style metrics into delivery pipelines to accelerate feedback and reduce risk. Phil has hands-on expertise operationalizing on-prem LLMs and integrating them into testing workflows for auto-generated tests and failure diagnostics, a capability he prototyped in consultancy engagements. He mentors engineers and leaders to foster communities of practice around automation and developer experience, balancing technical rigor with cultural change. Based in Georgetown, Texas, he combines deep legacy testing expertise with recent AI/ML training to help organizations modernize how they measure and manage software quality.
11 years of coding experience
35 years of employment as a software developer
BSIT, Information Technology, BSIT, Information Technology at University of Phoenix
https://developers.google.com/google-test-automation-conference/2014/, https://developers.google.com/google-test-automation-conference/2014/ at GTAC 2014
Master's Degree, Computer Information Systems - Security, Master's Degree, Computer Information Systems - Security at Boston University
http://www.associationforsoftwaretesting.org/conference/cast-2011/, http://www.associationforsoftwaretesting.org/conference/cast-2011/ at CAST 2011
High School, Pre-college, High School, Pre-college at Junipero Serra HS
http://2010.stpcon.com/, http://2010.stpcon.com/ at STPCON 2010
http://www.associationforsoftwaretesting.org/conference/cast-2015/, http://www.associationforsoftwaretesting.org/conference/cast-2015/ at CAST 2015
http://www.associationforsoftwaretesting.org/conference/cast-2014/, http://www.associationforsoftwaretesting.org/conference/cast-2014/ at CAST 2014
Postgraduate Certificate in Artificial Intelligence and Machine Learning, Artificial Intelligence and Machine Learning, Postgraduate Certificate in Artificial Intelligence and Machine Learning, Artificial Intelligence and Machine Learning at The University of Texas at Austin
http://www.associationforsoftwaretesting.org/conference/cast-2012/, http://www.associationforsoftwaretesting.org/conference/cast-2012/ at CAST 2012
Spanish, Japanese, Latin, German, French