Senior Platform & System Engineer

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 Senior Platform & System Engineer to go deep on that infrastructure as a hands-on individual contributor.

What you'll work 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).

• Shape the roadmap so systems work enables product velocity — partnering with ML engineers, product managers, customer success, and customer-side IT.

• Take your turn in the on-call rotation — own incident response on your shifts, 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

• Skilled 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, a calm head in incidents, 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)

   1. Team Lead Interview (0.5 - 1 hr)

2. Onsite

   1. Technical Interview (1.5 hrs)

   2. CEO & VP Interview (1.5 hrs)

   3. HR Interview (0.5 hr)