System Team Lead

Berry AI builds AI-powered operations platforms for QSR restaurants — drive-thru analytics, loss prevention, and store management tooling deployed at thousands of locations across the US — and growing. Everything we ship runs on hybrid cloud-edge infrastructure — in-store edge servers and cloud services — and the system team keeps that infrastructure healthy, observable, and efficient to run as it scales. We're hiring a System Team Lead to own it end-to-end and lead the team behind it.

What you'll work on

• Lead and grow the system team — set technical direction, mentor engineers, and own hiring — while staying hands-on.
• Own the on-prem edge fleet — thousands of in-store servers and cameras across customer networks, reached over resilient VPN/mesh paths (OpenVPN, Tailscale).
• Build the internal tools, scripts, and APIs that let the CS team and on-site technicians install and troubleshoot store servers, networks, and cameras on their own — turning cross-team escalations into self-serve fixes.
• Own our self-hosted observability platform — a Prometheus-ecosystem stack (Grafana, Mimir, Loki, VMAgent, Vector) across edge and cloud, with SLO dashboards and alerting that feeds automated ticketing and remediation.
• Drive the automation that keeps operational load flat as the fleet grows — event-driven auto-ticketing and auto-remediation across Ansible/AWX and serverless AWS (SNS/SQS/Lambda).
• Run the core infrastructure and services at the Taipei headquarters — servers and office network, virtualization, Kubernetes, storage, device monitoring, and self-hosted services (container registry, auth, reverse proxy).
• Steer the roadmap so systems work enables product velocity — partnering with ML engineers, product managers, customer success, and customer-side IT.
• Run the on-call rotation — lead incident response, and turn recurring issues into durable fixes and runbooks.
• Own security and compliance operations — the ISO 27001 ISMS, vulnerability management, code security scanning, and disaster-recovery drills.

You're a strong fit if you have

• A track record of leading an infrastructure, platform, or SRE team while staying hands-on in the systems yourself.
• 5+ years in systems, infrastructure, or DevOps engineering, with strong Linux (Ubuntu) administration and real experience operating fleets at scale.
• Strong networking fundamentals — TCP/IP, DNS, VLANs, VPN, and firewalls.
• Deep infrastructure-as-code, config-management, and orchestration experience across on-prem and cloud — e.g. Terraform, Pulumi.
• Observability fluency — running metrics, logs, and alerting at scale, defining SLOs, and balancing monitoring detail against the storage and cost it drives.
• Solid automation and scripting skills — Bash and Python especially, and ideally some Go — you reach for code to remove repetitive operational work.
• Excellent communication — clear docs and runbooks, calm incident leadership, and coordination across product, customer success, customers, and third-party IT.
• Fluent in Mandarin and English — Mandarin is the team's working language; fluent English is required for daily work with US teams, customers, and IT vendors.
• A pragmatic sense of ownership — balancing reliability against delivery velocity, and knowing which problems are worth solving now.

Bonus points

• Familiarity with IP cameras/NVRs and the ONVIF protocol, plus real-time video streaming (RTSP, H.264/H.265, MediaMTX).
• Storage and NAS operations at scale (ZFS/TrueNAS, Synology, QNAP, RAID/HA).
• Hands-on vulnerability management and SAST — e.g. OpenVAS, SonarQube.
• Workflow-automation tooling (n8n or similar) and a track record of building low-toil operational systems.

Our engineering culture

Small team, high ownership, fast feedback from customers — and the operational rigor to make that velocity sustainable. Modern AI tooling — LLMs, coding agents, agent-driven workflows — is a normal part of how we work, and you're encouraged to push on what these tools can do.

Interview Process

Online (Google Meet)

• Team Lead Interview (0.5 - 1 hr)

Onsite

• Technical Interview (1.5 hrs)
• CEO & VP Interview (1.5 hrs)
• HR Interview (0.5 hr)