Senior Infrastructure Engineer 資深基礎架構工程師 (Medical AI)
Description
工作說明
AICS builds and operates ASUS's healthcare and AI SaaS platforms. The Infrastructure team runs these platforms across public cloud and on-premises environments. We rely heavily on automation and infrastructure as code, and AI tools are part of how we work every day.
Key Responsibilities
1. Cloud & Cluster Operations
• Manage the lifecycle of Kubernetes clusters across public cloud and on-premises environments, including provisioning, upgrades, and backup/restore
• Troubleshoot production issues across workloads, networking, storage, and access control Infrastructure as Code & CI/CD
• Design and maintain reusable infrastructure-as-code modules for cloud resources
• Build and improve CI/CD pipelines that promote changes across environments
• Standardize how platform services are deployed and configured
2. Observability & Reliability
• Build and improve monitoring, logging, and alerting
• Take part in incident response and postmortems, and drive improvements afterward Platform Enablement
• Build tools and templates that help product teams deploy and run their services on the platform
• Work with application, security, and external IT teams on infrastructure design and delivery Technical Leadership
• Set engineering standards and best practices, and review designs and code
• Share knowledge and mentor other engineers on the team
• Maintain SOPs and technical documentation
需求條件
Required Qualifications
• 5+ years of experience in DevOps, SRE, platform, or infrastructure engineering
• Deep experience running Kubernetes in production
• Hands-on experience with a major public cloud (Azure or GCP preferred)
• Strong infrastructure-as-code experience (e.g. Terraform)
• Solid Linux system administration and networking fundamentals
• Experience designing and maintaining CI/CD pipelines
• Experience with monitoring and logging tools (e.g. Prometheus, Grafana)
• Scripting skills in Python and/or Bash
• Strong troubleshooting skills and the ability to own problems end to end
• Good written and verbal communication in English and Mandarin
Preferred Qualifications
• Experience leading projects or mentoring engineers
• Multi-cluster management, or self-managed Kubernetes distributions
• Helm chart authoring and configuration management tools (e.g. Ansible)
• Hybrid cloud or on-premises deployment experience
• Experience in regulated industries (e.g. healthcare, finance)
• Active use of AI coding assistants (e.g. Claude Code, Cursor, Codex)
• Kubernetes or cloud certifications (e.g. CKA, CKS)