SQA Automation Engineer for UniFi Cloud
Ubiquiti · Taipei, Taiwan · 3mo ago
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.
Overview
We’re looking for a technically strong and user-focused Cloud QA Engineer to join our UniFi Cloud Service team. This role plays a key part in ensuring our cloud platform delivers a reliable, scalable, and seamless experience across distributed systems.
The focus is on building scalable test systems, validating cloud services, APIs, and networking behaviors under real-world conditions, while continuously improving QA efficiency through automation and AI-assisted workflows.
You’ll take ownership of end-to-end validation across cloud, backend, and networking layers, with strong emphasis on automation, system reliability, and quality at scale.
Key Responsibilities
Automation & AI-driven QA
- Design and implement automated test strategies across API, integration, and end-to-end flows
- Build and maintain automation frameworks (Python preferred) and integrate with CI/CD
- Leverage AI tools to generate test cases, improve automation, and debug issues
- Evaluate AI-generated outputs and improve QA efficiency through AI-assisted workflows
End-to-End Validation
- Own validation across cloud services, APIs, networking, and distributed system interactions
- Cover service-to-service flows, data consistency, and failure handling
- Validate real-world scenarios including deployment, upgrade, connectivity, and long-running usage
- Perform load/stress testing to ensure system behavior at scale
Debugging & Reliability
- Debug issues across cloud, backend, and networking layers using logs and observability tools
- Validate authentication, authorization, and access control
- Ensure reliable and secure system behavior under different conditions
Collaboration & Quality Improvement
- Work with developers and PMs to define quality standards and release criteria
- Provide clear bug reports with repro steps, logs, and impact
- Drive improvements in QA processes, automation coverage, and tooling
Qualifications
Required
- Proven ability to design and execute end-to-end test strategies for cloud or distributed systems
- Strong hands-on ability in Python for building automation frameworks and test tooling
- Solid experience with automation frameworks (Pytest, Playwright, or Selenium)
- Hands-on experience integrating tests into CI/CD pipelines (e.g., Jenkins)
- Strong working knowledge of networking fundamentals (TCP/IP, DNS, DHCP, NAT, VLAN, VPN)
- Ability to perform API and backend validation, including authentication flows (tokens, sessions, OAuth)
- Strong debugging capability across cloud services, networking, and backend systems
- Practical use of AI tools to improve test design, automation, and debugging workflows
- Strong ownership mindset and ability to drive issues to resolution
Preferred
- Hands-on knowledge of AWS infrastructure and core services (EC2, S3, VPC, IAM), focusing on networking, security, and service integration
- Experience with large-scale SaaS or distributed systems
- Familiarity with Docker / Kubernetes
- Experience with observability tools (logs, metrics, tracing)
- Familiarity with authentication and identity systems (OAuth, SSO)