Alec Holmes
About Alec Holmes
Alec Holmes is a Software Engineer with a background in building scalable, distributed systems. He has worked at notable companies including Square and Morgan Stanley, and currently holds a position at Chronosphere in the San Francisco Bay Area.
Work at Chronosphere
Alec Holmes has been employed at Chronosphere as a Software Engineer since 2020. He operates within the San Francisco Bay Area, contributing to the development of scalable and distributed systems. His role involves optimizing data-heavy applications, leveraging his extensive experience in software engineering.
Previous Experience at Square
Prior to his current position, Alec Holmes worked at Square in various capacities. He served as a Senior Staff Software Engineer for two months in 2020. From 2012 to 2017, he held the position of Senior Software Engineer, Payments Tech Lead, and subsequently worked as a Staff Software Engineer until 2020. His tenure at Square spanned a total of five years.
Experience at Morgan Stanley
Alec Holmes has a substantial background with Morgan Stanley, where he worked for five years as a Software Developer from 2007 to 2012 in New York, NY. He also completed a Summer IT Analyst internship in 2006 for two months. His roles involved developing software solutions and contributing to various projects.
Education and Expertise
Alec Holmes earned a Bachelor of Arts degree in Computer Science and Music from New York University, studying from 2004 to 2007. He specializes in building scalable, distributed systems and optimizing data-heavy applications. His technical expertise includes significant project experience in programming languages such as C++, Scala, and Ruby.
Technical Skills and Specializations
Alec Holmes possesses a strong skill set in software engineering, focusing on the design of robust architectures. He combines technical, organizational, and communication skills to effectively address complex engineering challenges. His specialization in scalable systems enhances his ability to manage data-intensive applications.