X9546VV3 |【中文岗】Senior Operations Engineer (SRE/AI Platform) 高级运维工程师(SRE/人工智能平台)
$120,000–$180,000 year
On-siteKuala Lumpur, Kuala Lumpur, Malaysia
Job Summary
Own end-to-end availability, latency, and performance for AI infrastructure products including Model-API, Serverless, and GPU instances. Act as the first responder for production incidents, performing root cause analysis and implementing preventive measures while participating in on-call rotation. Design and maintain automation scripts and tools to streamline deployments and failure recovery, and manage cloud infrastructure using Terraform and Ansible. Develop monitoring systems with Prometheus and Grafana to enable proactive issue detection, and continuously analyze resource utilization to optimize AWS, GCP, or Azure costs. Collaborate closely with engineering teams in China to ensure new services reach production readiness.
Required Qualifications
- 5+ years of hands-on experience in DevOps, SRE, or cloud operations, preferably in a tech or cloud service company
- Expertise in at least one major cloud provider (AWS/GCP/Azure)
- Practical experience with containerization and orchestration technologies (Docker/Kubernetes required)
- Proficiency in at least one scripting language (e.g., Python, Go, Shell)
- Solid understanding of IaC tools like Terraform/Ansible
- Hands-on experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack)
- Systematic problem-solving skills with the ability to troubleshoot complex distributed systems under pressure
- Professional fluency in both English and Mandarin (written and spoken) for effective cross-regional collaboration
- Strong sense of ownership and self-drive, with the ability to work independently in a remote/distributed team setting
Desired Qualifications
- Experience with GPU-accelerated computing
- Knowledge of MLOps tools (e.g., Kubeflow, MLflow)
- Familiarity with serverless technologies and CI/CD pipelines
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