AI Cloud Senior DevOps Engineer

Operate as the backbone of deployment and infrastructure operations for AI products and platforms. Automate CI/CD and MLOps workflows, build scalable cloud-native infrastructure, manage GPU resources, implement high availability and disaster recovery, establish observability, enforce security standards, and lead incident resolution.

Responsibilities

• Design and maintain CI/CD pipelines for applications and machine learning models
• Automate build, testing, deployment, and rollback processes
• Build and scale Kubernetes- and Docker-based cloud infrastructure
• Manage GPU clusters and specialized computing resources
• Design high-availability and disaster recovery strategies
• Provision infrastructure with Terraform, Ansible, and Helm
• Build monitoring, logging, and alerting systems
• Establish security, release, secrets management, and compliance standards
• Lead troubleshooting, root cause analysis, and remediation during incidents

Requirements

• Bachelor's degree or above in Computer Science, Engineering, or a related technical field
• 5+ years of experience in DevOps, SRE, or cloud infrastructure roles
• Expert knowledge of Linux and networking principles
• Mastery of Docker and Kubernetes
• Experience with AWS, GCP, Azure, Alibaba Cloud, or other public or hybrid cloud platforms
• Strong coding or scripting skills in Go, Python, Shell, or another major language
• Knowledge of CI/CD, Infrastructure as Code, observability, and SRE
• Experience with MLOps, model serving, GPU clusters, or large-scale distributed systems is preferred