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Lead QA Engineer (IoT / SaaS)
Lead QA Engineer - Edge IoT & SaaS Platform
ABOUT SMARTRETAIL SmartRetail is a pioneering technology company building cutting-edge Edge AI and Computer Vision (CV) platforms for the Engagement Out-of-home (EOOH) retail and advertising space. Operating across Hong Kong, Japan, Singapore, Malaysia, and Taiwan, our technology bridges complex on-device Linux systems with scalable cloud backends to capture real-time demographic and engagement metrics. As a consumer engagement SaaS platform, we digitally upgrade everyday retail journeys—from advertising in convenience stores and malls to transaction mapping in kiosks and point-of-sales.By allowing consumers to interact with targeted advertising for immediate incentives, we create a powerful, data-driven ecosystem that delivers a win-win-win for advertisers, retailers, and consumers.
YOUR ROLEWe are looking for a highly meticulous, hands-on Lead QA Engineer to own the end-to-end quality of our product ecosystem. While our AI Data team ensures our computer vision models are accurate, your job is to ensure the entire system—from the physical edge device in a retail store to the cloud backend and the advertiser’s SaaS dashboard—works flawlessly and delivers real commercial value.
You will be the ultimate gatekeeper for our product releases. We need someone who can design a robust, repeatable QA process, but who is also deeply involved in the day-to-day testing. You won't just be managing spreadsheets; you will be digging into Linux device logs, testing API payloads, and putting yourself in the shoes of both the consumer interacting with our screens and the advertiser reviewing their campaign ROI.
If you love understanding complex, multi-tiered products at a deep technical level and are passionate about protecting the customer experience, this is the role for you.
SPECIFICALLY, YOU WILL:
- Own the E2E QA Process: Design, implement, and manage the end-to-end testing strategy across our entire stack (Edge Linux devices, Cloud APIs, and Web/SaaS Dashboards). Establish clear release gates and quality standards for the engineering team.
- Hands-On System Testing: Execute complex integration and system tests. You will validate that when our edge AI detects an event, the data is correctly processed, securely transmitted to the cloud, and accurately reflected in the customer-facing SaaS platform.
- Champion Customer Value: Test the product from a commercial and user-experience perspective. You will deeply understand our business logic to ensure that ad triggers, consumer incentives, and billing metrics function exactly as promised to our clients.
- Hardware/Software Integration Testing: Simulate real-world edge conditions (e.g., network drops, device reboots, offline modes) to ensure our on-premise Linux hardware recovers gracefully and no critical data is lost.
- Drive Test Automation: Identify the highest-value areas for automation (APIs, UI regression) and build or oversee the implementation of automated test suites to speed up our release cycles without sacrificing quality.
- Cross-Functional Collaboration: Act as the bridge between Product, Engineering, and Operations. Translate complex technical bugs into clear business impacts, and work closely with developers to reproduce and resolve edge-case issues.
- 5+ years of experience in Software QA, Systems Testing, or Quality Engineering, with a proven track record of taking ownership of QA processes.
- Deep Product Mindset: You don't just test to see if code compiles; you test to see if the product makes sense. You have a customer-centric approach to quality.
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Hands-On Technical Skills:
- Comfortable navigating and troubleshooting in Linux environments (checking logs, basic bash scripting, understanding system performance).
- Strong experience testing APIs (Postman, REST Assured, etc.) and understanding JSON data flows.
- Experience with web automation frameworks (e.g., Cypress, Playwright, or Selenium).
- System-Level Thinking: Ability to understand complex architectures involving hardware (IoT/Edge), cloud backends (AWS/GCP), and frontend web applications.
- Meticulous Attention to Detail: You are the person who finds the edge-case bug that everyone else missed, and you can document exact reproduction steps clearly.
- Strong Communication: Excellent written and spoken English, with the ability to push back on engineering or product teams when quality standards are not met.
