Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Очень мало
85к-95к CAD/год
100к CAD130к CADмедиана150к CAD
По похожим ролям (29) ~ 130к CAD/год
На СНГ рынке: $3.5к/мес ($2.5к - $4.1к)
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Чётко очерченная senior-позиция сочетает автоматизацию тестирования с практической разработкой ИИ-агентов и предлагает актуальный набор задач в продуктовой компании.
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Оплата ниже рынкаШирокий охват QAАктуальный стекФинтех и цифровая идентификацияПонятный пакет льгот
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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