Kha Vu
About Kha Vu
Kha Vu is a DevOps Engineer with extensive experience in managing AWS infrastructure and monitoring tools. He has worked at Veritone, Inc. since 2019 and has held various DevOps roles across multiple countries.
Work at Veritone
Kha Vu has been employed at Veritone, Inc. as a DevOps Engineer since 2019. In this role, he is responsible for managing and supporting a large AWS infrastructure. His duties include utilizing monitoring tools such as Prometheus, Grafana, CloudWatch, and VictorOps. Kha also handles troubleshooting for infrastructure and applications, specifically focusing on technologies like Elasticsearch and Kafka. Additionally, he is tasked with patching OS security to ensure the integrity and security of the systems.
Education and Expertise
Kha Vu studied at Vietnam National University in Hanoi from 2007 to 2011, completing a four-year program. His educational background has equipped him with the foundational knowledge necessary for his career in DevOps. He employs various tools and technologies in his work, including Terraform, Ansible, and Jenkins, which are essential for managing infrastructure and automating processes in cloud environments.
Previous Work Experience
Prior to his current position at Veritone, Kha Vu held several roles as a DevOps Engineer across different companies and countries. He worked at Sentifi in Zurich from 2016 to 2018 for two years, and at Asia Focus Group in Singapore from 2018 to 2019 for eight months. He also had brief tenures at Nashtech in London and Topica Edtech Group in Hanoi in 2018, each lasting two months. His early career included a role as a Sysadmin at Fim+ Digital Jsc in the United Kingdom from 2015 to 2016.
Technical Skills and Tools
Kha Vu possesses a range of technical skills relevant to his role as a DevOps Engineer. He utilizes monitoring tools such as Prometheus, Grafana, CloudWatch, and VictorOps for effective system oversight. His expertise extends to managing AWS infrastructure using Terraform, Ansible, and Jenkins. Additionally, he is involved in troubleshooting infrastructure and applications, specifically with technologies like Elasticsearch and Kafka, which are critical for data processing and management.