Taipei, Taiwan · Hybrid
Berry AI builds AI-powered operations platforms for QSR restaurants — drive-thru analytics, loss prevention, and store management tooling deployed across thousands of locations across the US — and growing. To help us sca…
Skills: Architecture design, DevOps, SRE, Monitoring, CI/CD
Taipei, Taiwan · Hybrid
About Berry AI 🍟 AI is one of the most revolutionary technologies of our generation, driving progress across industries. At Berry AI, we leverage AI-powered cameras to help quick service restaurant chains measure and im…
Skills: Accounting, Financial Reporting, Accounts Payable, Accounts Receivable, VAT Filing
Taipei, Taiwan · Hybrid
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…
Skills: Linux administration, Networking, Infrastructure as code, Terraform, Pulumi
Taipei, Taiwan · Hybrid
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. Computer vision si…
Skills: Computer vision, Object detection, Multi-object tracking, Python, PyTorch
Taipei, Taiwan · Hybrid
Berry AI builds AI-powered operations platforms for QSR restaurants — drive-thru analytics, loss prevention, and store management tooling deployed across thousands of locations across the US — and growing. We're hiring a…
Skills: TypeScript, React, Vue, Angular, Python
Taipei, Taiwan · Hybrid
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…
Skills: Linux Administration, Networking, Infrastructure-as-code, Observability, Automation
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The role involves analyzing and optimizing edge-cloud architecture while establishing robust monitoring strategies for a large fleet of servers. You will also contribute to the operational backbone, including CI/CD pipelines and on-call practices to ensure high system reliability.
Candidates must have over 5 years of experience in production software development with deep expertise in architecture design and DevOps practices. Strong fundamentals in cloud infrastructure, data modeling, and system reliability validation are essential for this position.
Analyze and optimize our edge-cloud architecture using modern monitoring tools, continuously driven by data insights.
Formulate and execute a robust monitoring strategy tailored for our thousands of edge servers and cameras.
Establish standards and guide our software development workflows to mitigate or clarify risks before they arise.
Contribute to the operational backbone — Ansible playbooks, CI/CD pipelines, and observability — that lets us deploy, monitor, and operate the fleet.
Strengthen our on-call practice — leading postmortems, sharpening alerting and runbooks, and turning incidents into durable fixes.
Over 5 years of experience delivering production software, with deep expertise in architecture design and conducting code reviews.
Experience mapping out complex data flows within massive codebases.
Disciplined practice of DevOps and SRE — metrics, structured logging, tracing, runbooks.
Proven ability to validate system reliability by designing and executing load tests, stress tests, and chaos engineering experiments.
Strong cloud and system-design fundamentals — designing for AWS/GCP/Azure at scale (compute, storage, autoscaling), clean REST/GraphQL contracts, and async/event-driven pipelines.
Strong data modeling experience at scale — relational and NoSQL databases, dimensional modeling for analytics, and robust ETL/ELT pipeline design.
Experience managing and deploying to massive fleets of on-premise or edge devices (IoT).
Hands-on experience working with open-source software, including modifying, extending, and improving existing projects—not just using them.
Experience with real-time/streaming systems (RTSP, WebRTC, MediaMTX).
Experience Kernel performance insights - scheduling, context switching, hardware acceleration.
Deep knowledge of GPU analytics and performance optimization for edge-based AI deployments.
Small team, high ownership, fast feedback from engineer teams — and the operational rigor to make that velocity sustainable. We hack. We drive. We deliver. No technical limitation stands in our way — until we turn what seemed impossible into something real.
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Online (Google Meet)
Team Lead Interview (0.5 - 1 hr)
Onsite
Technical Interview (2.5 hrs)
CEO & VP Interview (1.5 hrs)
PM/Engineer Interview (0.5 hr)
HR Interview (0.5 hr)
Providing AI cameras for QSR operations to reduce costs, unlock revenue, streamline operations.
Next to food, "Speed of Service" is the most impactful part of the customer experience at QSR restaurants. It literally determines customer loyalty, repeat visits, and how much profit a QSR location can make. The problem? Most QSR operators are stuck using legacy technology that requires them to guess how long customers ACTUALLY spend in line. Even worse, the operators have little to no visibility on how many people leave before they even place an order. That is literally money walking out the door. Berry AI provides QSR operators with affordable technology that gives operators actionable customer insights that are easy-to-digest, easy to act on, and consistently improves their bottom line. And for large-scale brands, Berry AI provides brand-wide analytics on "Speed of Service" trends for each stage of the customer journey across dayparts, regions, menu items, and the entire brand. Visit www.berry-ai.com to schedule a demo to see how much you can add to your bottom line, without any increase in marketing or advertising spend.
Offices: Taipei, TW · San Jose, US
Providing AI cameras for QSR operations to reduce costs, unlock revenue, streamline operations.
Next to food, "Speed of Service" is the most impactful part of the customer experience at QSR restaurants. It literally determines customer loyalty, repeat visits, and how much profit a QSR location can make. The problem? Most QSR operators are stuck using legacy technology that requires them to guess how long customers ACTUALLY spend in line. Even worse, the operators have little to no visibility on how many people leave before they even place an order. That is literally money walking out the door. Berry AI provides QSR operators with affordable technology that gives operators actionable customer insights that are easy-to-digest, easy to act on, and consistently improves their bottom line. And for large-scale brands, Berry AI provides brand-wide analytics on "Speed of Service" trends for each stage of the customer journey across dayparts, regions, menu items, and the entire brand. Visit www.berry-ai.com to schedule a demo to see how much you can add to your bottom line, without any increase in marketing or advertising spend.
Offices: Taipei, TW · San Jose, US
