System Team Lead (Infrastructure)

TL;DR

System Team Lead (Infrastructure): Leading and managing the infrastructure for AI-powered restaurant operations software with an accent on distributed on-prem edge fleet management and observability. Focus on designing self-service tooling, automating operational workflows via Ansible and AWS, and maintaining high system reliability across cloud and edge.

Location: Hybrid in Taipei City, Taiwan

Company

hirify.global builds AI-powered operations software for fast-food/QSR restaurant chains in the US.

What you will do

• Set the technical direction for the systems team, providing mentorship while remaining hands-on.
• Manage a distributed on-prem edge fleet of in-store servers and camera hardware via secure VPN/mesh networking.
• Develop self-service tooling and internal APIs to enable independent installation and debugging by field technicians.
• Operate a self-hosted Prometheus-based observability stack (Grafana, Mimir, Loki, Vector) across edge and cloud.
• Build event-driven auto-remediation and ticketing systems using Ansible/AWX and AWS serverless components.
• Oversee Taipei office core infrastructure, including Kubernetes, virtualization, and ISO 27001 security compliance.

Requirements

• 5+ years of experience in systems, infrastructure, or DevOps engineering with strong Ubuntu Linux administration.
• Proven track record of leading an infrastructure or SRE team while contributing technically.
• Deep understanding of TCP/IP, DNS, VLANs, VPNs, and firewalls.
• Proficiency in Infrastructure-as-Code (Terraform, Pulumi) and scripting (Bash, Python).
• Fluent in both Mandarin and English for internal coordination and communication with US stakeholders.
• Must be located in Taipei City, Taiwan to support the hybrid work model.

Nice to have

• Experience with IP cameras, ONVIF, and real-time video streaming (RTSP, H.264/H.265).
• Knowledge of large-scale storage/NAS operations (ZFS, TrueNAS, RAID/HA).
• Experience with vulnerability scanning and static analysis tools like OpenVAS or SonarQube.
• Experience with low-code workflow automation tools such as n8n.