ZoomAI DevOps Engineer

Zoom Video Communications, Inc.
San Jose, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

San Jose, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Bash
Cloud Computing
Computer Programming
Continuous Integration
Linux
DevOps
Monitoring of Systems
Python
Octopus Deploy
Ansible
Prometheus
Scripting (Bash/Python/Go/Ruby)
Delivery Pipeline
Grafana
GIT
Kubernetes
Ansible Tower
Docker
ELK
Jenkins

Job description

Experteer Overview In this role, you will maintain and optimize ZoomAI services within a fast-moving, technically advanced team. You'll work on high-availability deployments and scalable infrastructure to support AI and machine learning platforms. You'll design CI/CD pipelines, improve deployment reliability, and automate monitoring to quickly detect and resolve issues. This is a hands-on position with opportunities to influence architecture and tooling while contributing to Zoom's AI initiatives. Compensation / Benefits * Maintaining ZoomAI services' release deployment and maintenance * Investigating architectural and operational inefficiencies across ZoomAI services and environments * Designing and implementing enhancements in deployment pipelines and CI/CD automation * Designing and implementing zero-downtime Zoom services (99.999%) * Developing CI/CD automation to scale architecture * Automating monitoring metrics and troubleshooting service issues Tasks * Hands-on expertise in AWS Bedrock * Kubernetes and Docker experience * Proficiency with Git, Jenkins, ArgoCD, and other DevOps tools * Expertise in Prometheus, Grafana, ELK Stack, and related monitoring tools * Programming experience in Python, Shell, and scripting languages * Experience with Ansible Playbooks and Ansible Tower * Deep understanding of Linux systems and shell environments * Experience with AWS cloud infrastructure Key requirements *

Requirements

AWS Bedrock * Kubernetes and Docker experience * Proficiency with Git, Jenkins, ArgoCD, and other DevOps tools * Expertise in Prometheus, Grafana, ELK Stack, and related monitoring tools * Programming experience in Python, Shell, and scripting languages * Experience with Ansible Playbooks and Ansible Tower * Deep understanding of Linux systems and shell environments * Experience with AWS cloud infrastructure Key requirements *

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