Ross Mc Quarrie

Ross Mc Quarrie

Client Engineer @ Thought Machine

About Ross Mc Quarrie

Ross McQuarrie is a Client Engineer at Thought Machine, specializing in application management using Kubernetes and Kafka. He has a strong background in mathematics and extensive experience in technology operations, including previous roles at the London Stock Exchange and Gazprom Marketing & Trading.

Work at Thought Machine

Ross Mc Quarrie has been employed as a Client Engineer at Thought Machine since 2020. In this role, he contributes to the development and support of innovative banking technology solutions. His responsibilities include managing client applications and ensuring their optimal performance. His tenure at Thought Machine has allowed him to apply his technical skills in a dynamic environment, further enhancing his expertise in client engineering.

Education and Expertise

Ross Mc Quarrie holds an MMATH degree in Mathematics from the University of East Anglia, where he studied from 2008 to 2012. He also studied Mathematics at Monash University, participating in a Study Abroad program from 2010 to 2011. His educational background provides a strong foundation for his technical skills in IT engineering. He possesses expertise in managing and supporting applications using Kubernetes and Kafka, and has professional programming experience in languages such as C#, Python, and C++.

Background in Technology Operations

Prior to his current role, Ross Mc Quarrie worked at the London Stock Exchange as a Data Systems Support Engineer from 2015 to 2020. In this position, he was involved in technology operations, focusing on the support and maintenance of data systems. His experience at the London Stock Exchange equipped him with valuable insights into financial technology and operational processes. Before that, he served as a Service Desk Analyst at Gazprom Marketing & Trading from 2013 to 2015.

Commitment to Continuous Learning

Ross Mc Quarrie actively seeks to expand his knowledge and skills in development, demonstrating a commitment to continuous learning. This dedication is evident in his pursuit of new technologies and methodologies relevant to his field. His keen interest in finance complements his technical background, allowing him to bridge the gap between IT engineering and financial applications.

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