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3 часа назад

Quality Assurance Engineer (AI)

85 000 - 95 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quality Assurance Engineer (AI) (SaaS and Digital Identity): Delivering quality software for a digital identity verification platform through manual and automated testing across UI, API, database, Android, and iOS layers with an accent on test automation, performance validation, and AI-assisted quality engineering. Focus on integrating tests into CI/CD pipelines, building MCP- and API-based AI tools and agents, validating AI-generated artifacts, and ensuring secure handling of customer and personal data.

Location: Vancouver, BC, Canada; full-time, permanent hybrid position with 3 days per week in the Vancouver office

Base salary: CA$85K–CA$95K per year

Company

hirify.global provides a SaaS digital identity verification platform that helps organizations onboard customers, reduce costs, and combat fraud across 195 countries.

What you will do

  • Deliver quality software for the hirify.global SaaS platform through manual and automated testing.
  • Design and document full-stack test strategies and test cases across UI, API, database, Android, and iOS layers.
  • Prioritize tests, track defects, validate releases, and integrate automated tests into CI/CD pipelines.
  • Assist with performance, load, and stress testing using tools such as k6, and document response times, throughput, and error rates using Grafana.
  • Build and integrate AI tools and agents into Quality Engineering workflows using MCP, APIs, tool calling, and prompt engineering.
  • Mentor junior engineers and serve as a technical subject matter expert on emerging AI technologies while following security, privacy, and responsible-use practices.

Requirements

  • 5+ years of hands-on experience developing automated tests with API and UI test automation frameworks.
  • 5+ years of experience with tools such as Cypress, Selenium, Playwright, Postman, RestAssured, or similar.
  • Proficiency in at least one scripting or programming language, such as C#, Java, TypeScript, JavaScript, or Python.
  • Solid understanding of SaaS platforms, REST APIs, web applications, databases, and distributed systems.
  • Experience integrating automated tests into CI/CD pipelines.
  • Introductory experience with performance-testing tools such as k6, JMeter, Locust, or Postman performance testing, plus basic understanding of testing endpoints under simulated user load.
  • Familiarity with application monitoring tools such as Grafana, Datadog, or New Relic.
  • Practical experience using generative AI development tools such as Codex, Cursor, or GitHub Copilot; experience designing prompts and reusable instructions.
  • Experience building or integrating AI agents, AI-assisted automation, or custom internal AI tools, with familiarity with MCP, API integrations, tool calling, or connecting AI tools to internal systems.
  • Ability to critically validate AI-generated code, test cases, and recommendations, with an understanding of security, privacy, access control, and data handling in enterprise environments.
  • Bachelor of Science degree in computer science, engineering, or another STEM field, or a comparable combination of education, training, and experience.

Nice to have

  • Experience testing Android and iOS platforms.
  • Experience delivering quality products in Agile teams using AWS Device Farm, microservices, Docker, or AWS.
  • Experience building internal tools and quality dashboards.
  • Experience creating AI agents or workflows for test generation, requirements analysis, defect triage, failure analysis, test-data creation, or release validation.
  • Experience developing MCP servers or integrating MCP-compatible tools with engineering platforms.
  • Experience evaluating AI-assisted workflows for accuracy, consistency, security, latency, cost, and operational value.
  • Experience establishing responsible generative AI standards or best practices for engineering teams.
  • Experience with BDD and TDD practices.

Culture & Benefits

  • Full-time permanent employees receive health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education and training stipend equivalent to $1,000 in local currency.
  • Hybrid offices support collaboration and flexibility with weekly lunches, social events, adaptable workstations, and selected on-site amenities.
  • Wellness workshops, events, and a complimentary Headspace subscription are available.
  • Employee Resource Groups provide inclusive community and support for employees from diverse backgrounds and allies.
  • Inclusive and collaborative workplace with support available for candidates with disabilities during the selection process.

Hiring process

  • Recruiter interview: 30 minutes.
  • Hiring manager interview: 45–60 minutes.
  • Final panel or assignment: 60 minutes.

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