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.

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INTERVIEW PROCESS

1. Online (Google Meet)
2. Team Lead Interview (0.5 - 1 hr)
3. Onsite
4. Technical Interview (1.5 hrs)
5. CEO & VP Interview (1.5 hrs)
6. HR Interview (0.5 hr)