Zoom AI DevOps Engineer

What you can expect As a Zoom AI DevOps Engineer, you can expect to work on high-impact, large-scale systems that support ZoomAI and Machine Learning services. You'll be part of a fast-moving, technically advanced team focused on building and maintaining highly available (99.999%) services. This is a hands-on role with opportunities to grow, innovate, and contribute to Zoom’s cutting-edge AI initiatives.

About the Team The ZoomAI DevOps team is a collaborative group dedicated to building scalable, reliable, and secure infrastructure for ZoomAI and Machine Learning services. Comprising individuals with varying levels of experience, the team promotes an open atmosphere. Knowledge sharing, innovation, and practical problem-solving are integral to their daily operations.

Responsibilities Maintaining ZoomAI services’ release deployment and maintenance. Conducting in-depth investigations across various ZoomAI services and environments to identify architectural or operational inefficiencies. Designing and implementing enhancements in deployment pipelines and CI/CD automation to improve reliability and accelerate release processes. Designing and implement zero-downtime Zoom services (99.999%) Developing CI/CD automation to maintain a scalable architecture. Automating monitoring metrics, identify and troubleshoot service issues.

What we’re looking for Have hands-on expertise in AWS Bedrock. Demonstrate experience in Kubernetes and Docker. Show skills in using Git, Jenkins, ArgoCD, and other DevOps tools. Bring expertise in Prometheus, Grafana, ELK Stack, and related monitoring tools. Demonstrate expertise in programming using Python, Shell, and various scripting languages. Own experience in writing and managing Ansible Playbooks and working with Ansible Tower. Exhibit deep understanding of Linux systems and shell environments. Bring experience with AWS cloud infrastructure.