Dor Harchol
About Dor Harchol
Dor Harchol is a Site Reliability Engineer at Optimove, where he focuses on large-scale implementations and infrastructure changes. He utilizes Python scripting and Azure DevOps to automate tasks and enhance operational workflows.
Work at Optimove
Dor Harchol currently serves as a Site Reliability Engineer at Optimove, a position he has held since 2022. In this role, he plays a key part in large-scale implementations and infrastructure changes. His responsibilities include utilizing Python scripting to automate tasks and improve operational workflows. He collaborates closely with R&D teams to ensure the seamless integration and deployment of new features and updates. Prior to his current role, he worked as an Operational Support Engineer and later as a Senior Operational Support Engineer at Optimove, gaining valuable experience in operational processes.
Education and Expertise
Dor Harchol earned a Bachelor of Science in Industrial Engineering from Shenkar - Engineering. Design. Art., completing his studies from 2018 to 2022. His educational background provides him with a solid foundation in engineering principles, which he applies in his current role. His expertise includes using Azure DevOps for pipeline creation, enhancing deployment efficiency, and employing Datadog for system monitoring and data visualization, contributing to improved system reliability.
Background
Before joining Optimove, Dor Harchol served in the Israel Defense Forces as a Senior Instructor from 2012 to 2016. This experience provided him with leadership skills and technical knowledge that he has since applied in his engineering roles. His transition from military service to the tech industry reflects his adaptability and commitment to continuous learning in the field of site reliability engineering.
Technical Skills
Dor Harchol possesses a range of technical skills relevant to site reliability engineering. He employs Python scripting to automate operational tasks, which enhances workflow efficiency. He utilizes Azure DevOps for creating deployment pipelines and uses Datadog for monitoring systems and visualizing data. His role requires him to act as the technical point of escalation for production teams, leading major event management to ensure rapid issue resolution.