About the role

Aplyr's Quick Take

This role is for a Cloud QA Engineer focused on ensuring the reliability and performance of Ubiquiti's cloud services. You'll be building and implementing automated test strategies, validating APIs and networking behaviors, and improving QA processes using automation and AI. It's primarily an individual contributor role with a strong emphasis on technical skills.

Good fit

Ideal candidates have a solid background in QA engineering with experience in automation, preferably using Python. You should be comfortable working independently and have a proactive approach to problem-solving, especially in cloud environments.

Worth noting

The role emphasizes the use of AI tools for testing, which is a growing trend in QA. Additionally, the focus on real-world scenario validation suggests a hands-on approach to ensuring product quality under practical conditions.

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)

Skills & Tags

python go aws kubernetes docker ai backend ios

Aplyr's read

Ubiquiti is a tech innovator in wireless and wired communications, attracting talent in engineering and design to drive enterprise and home networking solutions.
Synthesized from recent postings & public sources

What's promising

•Ubiquiti offers a diverse range of roles from AI to hardware engineering, indicating a broad tech focus.
•The company is expanding in Asia, hiring sales engineers in multiple countries, showing regional growth.
•Focus on UniFi products suggests a strong market presence in enterprise and home networking solutions.

What to watch

•Ubiquiti faces stiff competition from established networking giants like Cisco and Netgear.
•Limited public information about company culture and employee satisfaction.
•Potential challenges in maintaining product quality amid rapid expansion and diverse product lines.

Why Ubiquiti

•Ubiquiti's UniFi brand is well-regarded for integrating wireless and wired solutions.
•The company emphasizes innovation in both hardware and software, attracting diverse engineering talent.
•Ubiquiti's global hiring strategy reflects its commitment to expanding its international footprint.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Ubiquiti

Ubiquiti

ui.com

View company

Ubiquiti Inc. is a technology company that designs and manufactures wireless data communication and wired products for enterprises and homes under the brand name UniFi.