Senior Infrastructure Engineer

 

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

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

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
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)

Career at aics

Join our mission to bring transformative change to the Healthcare industry with AI solutions.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.