QA/UAT Engineer (AI)

TL;DR

QA/UAT Engineer (AI): Designing and maintaining automated test suites for an API platform focusing on email, calendar, and contact management with an accent on API validation and browser automation. Focus on integrating AI-assisted workflows to accelerate defect discovery and evolving the quality engineering practice into an AI-native organization.

Location: Remote (Must be based in the US or Canada, specifically in provinces/states where hirify.global is registered)

Salary: CA$100K – CA$150K

Company

Infrastructure provider for modern communications, offering APIs that streamline the integration of email, calendar, and contact management for developers.

What you will do

• Build and maintain automated test suites for API platforms (REST/gRPC) and customer-facing applications.
• Conduct user acceptance (UAT) and exploratory testing to uncover usability issues and edge cases.
• Automate browser-based workflows using frameworks such as Playwright, Cypress, or Selenium.
• Leverage AI-powered testing tools (Claude Code, Cursor) to generate test cases and triage flaky tests.
• Integrate quality gates into CI/CD pipelines to provide fast, actionable feedback on every change.
• Investigate and triage defects while collaborating with backend, frontend, and product teams to shape the testing strategy.

Requirements

• 3–5 years of experience in QA, SDET, or Quality Engineering roles.
• Practical working knowledge of Go (Golang) to read service code and debug failures.
• Experience testing REST and gRPC APIs and microservices.
• Hands-on experience with browser automation tools (Playwright, Cypress, or Selenium).
• Experience using AI-assisted development or testing tools (Claude Code, Codex, Cursor).
• Familiarity with Docker, Kubernetes, and GitHub Actions.

Nice to have

• Experience applying LLM technologies to software testing workflows.
• Proficiency with TypeScript or Python for automation.
• Experience testing third-party integrations, OAuth flows, or identity systems.
• Familiarity with observability platforms (logs, metrics, distributed tracing).

Culture & Benefits

• Opportunity to pioneer an AI-native quality engineering practice rather than inheriting a fixed process.
• Remote-first work environment within registered jurisdictions.
• Collaborative culture focusing on shared responsibility for quality across engineering and product teams.

Hiring process

• Introductory 30-minute discussion with the Hiring Manager.
• 60-minute live technical assessment.
• Interview loop consisting of several 45-minute team chats.