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.

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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.

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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.