Mark Shaw
About Mark Shaw
Mark Shaw is a Staff Site Reliability Engineer at Faire, with a strong background in building and operating infrastructure for high traffic environments. He has previously held positions at various organizations, including the University of Toronto, PagerDuty, and Groupon, and possesses expertise in a wide range of infrastructure tools and programming languages.
Work at Faire
Mark Shaw has been employed at Faire as a Staff Site Reliability Engineer since 2022. In this role, he focuses on building and operating modern infrastructure tailored for high traffic environments. His expertise in site reliability engineering contributes to the stability and performance of Faire's systems.
Previous Experience in Software Engineering
Prior to his current position, Mark Shaw worked at PagerDuty as a Software Engineer IV from 2019 to 2022. He also held roles at Nulogy as a DevOps Engineer for one year and at Groupon as a Software Development Engineer for six months. His experience spans various companies in the Toronto area, where he developed skills in software development and infrastructure management.
Education and Expertise
Mark Shaw studied at McMaster University, where he earned a Bachelor of Science in Psychology, Neuroscience & Behaviour from 2007 to 2012. He furthered his education at the University of Toronto, completing a Master's degree in Psychology with a Collaborative Program in Neuroscience from 2012 to 2013. His academic background supports his expertise in cognitive neuroscience and software engineering.
Technical Skills and Tools
Mark possesses a strong skill set in infrastructure tools, including Terraform, Docker, Kubernetes, ECS, Nomad, Chef, Ansible, and Packer. He has extensive experience with infrastructure as code, emphasizing self-healing and immutability. His proficiency extends to frontend technologies such as ReactJS, SCSS, Javascript, HTML, and CSS, as well as backend development using Ruby, PHP, and Elixir.
Research and Teaching Experience
Mark Shaw has a background in research and academia. He worked as a researcher in the Cognitive Neuroscience Lab at the University of Toronto from 2012 to 2013. Additionally, he served as a Teaching Assistant at the same institution during that period. His involvement in research and teaching has contributed to his understanding of cognitive processes and software development.