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UniFiUbiquiti Inc.

Software Product Reliability Engineer (AQA) - UniFi Fabric Platform

Location🇹🇼Taipei
PostedMay 22
Experience
3+ years
Stack
TypeScript, Kubernetes, Python, Go

About Ubiquiti

At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity.

Role Summary

We are looking for a Product Reliability Engineer (AQA) - UniFi Fabric Platform to evolve QA beyond traditional Dev support into customer-driven product reliability ownership.

This role focuses on scalable validation systems and production-like, real-world customer workflow coverage for UniFi Fabric across Identity (Admins and Users), MSP, Zero Trust, provisioning, orchestration, cloud services, client workflows, and application backends. You will work closely with Support, Product, Engineering, Cloud, Identity, client, and application backend teams to translate real customer pain points into repeatable validation coverage and release confidence.

The ideal candidate is a strong SDET / AQA who can build reliable automation systems, debug complex product behavior across frontend, backend, cloud, and client surfaces, and reduce customer risk before issues reach production.

What You’ll Do

What We’re Looking For

Preferred Qualifications

Key Evaluation Criteria

The best candidate should demonstrate:

  1. Customer-driven reliability mindset — stays close to real customer pain points and validates production-like workflows, not only Jira tickets from Dev.
  2. Automation depth — can build scalable, maintainable, trustworthy validation systems.
  3. Product reliability ownership — understands risk across product, cloud backend, application backend, client, identity, permissions, devices, and workflow dependencies.
  4. Debugging ability — can isolate root causes across complex distributed systems.
  5. AI-native reliability workflow — uses AI tools to increase test coverage, speed, and insight without sacrificing judgment.

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