Gal Haimov
About Gal Haimov
Gal Haimov is a DevOps Engineer at Varonis, specializing in CI/CD pipelines, automation, and cloud resource management.
Current Title and Role
Gal Haimov serves as a DevOps Engineer at Varonis. He has been with the company since 2019, working in the Herzliya Area, Israel. In this role, he focuses on building Continuous Integration and Continuous Deployment (CI/CD) pipelines and implementing automation using Azure DevOps.
Previous Experience
Prior to his current position at Varonis, Gal Haimov served in multiple roles across various companies. He worked as a Configuration Management Engineer at Varonis from 2018 to 2019. Before that, he was an Integrator at Hospira in the Greater San Diego Area in 2017 for 11 months. He also worked at Q Core Medical Ltd. as a DevOps Engineer from 2016 to 2018 and as a QA Engineer for 2 months in 2016. Earlier in his career, he was a QA Engineer at Sela Group from 2015 to 2016 and served in the Israel Defense Forces in a logistics role from 2012 to 2015.
Technical Skills and Expertise
Gal Haimov specializes in building CI/CD pipelines and automation with Azure DevOps. He is proficient in containerization and orchestration technologies, including Kubernetes, Service Fabric, and Docker. His toolkit includes monitoring tools like Prometheus, Grafana, Azure Log Analytics, Azure App Insight, and Azure Alerts. He utilizes Terraform for infrastructure as code automation and writes scripts using PowerShell for various automation tasks.
Education
Gal Haimov studied Computer Software Engineering at Sela College, completing his education in 2016. This foundational knowledge has enabled him to develop a robust skill set that he applies in his various roles in DevOps and configuration management.
Contributions and Team Engagement
Gal Haimov actively engages in knowledge sharing within his team. He contributes through documentation, demo sessions, and guide writing using platforms like OneNote, ADO Wiki, and Quandora. Additionally, he participates in an on-call schedule tailored to the local time zone, ensuring continuous support and resource management in cloud environments.