Quality Assurance Engineer

Are you ready to embark on a career that truly affects people around the world?

Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front-runner in our industry, we are redefining how businesses grow, innovate and comply online.

Position Summary Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing and executing manual and automated tests across UI, API, and database layers, and integrating them into CI/CD pipelines.

Responsibilities

• Execute the strategic vision using technologies required to ensure the delivery of quality software for the Trulioo SaaS platform.
• Contribute to bug tracking, test prioritization, test automation, and release validation.
• Influence design by reviewing requirements, behaviour specifications, and design documents to begin test development early and uncover risks before implementation.
• Develop and document full-stack test strategies, design test cases, and conduct manual and automated testing across platforms and technology layers, including UI, API, database, Android, and iOS.
• Work with QA engineers across engineering disciplines to apply a test-automation-first strategy and integrate automated tests into CI/CD pipelines.
• Mentor and coach junior engineers on the team.
• Assist the team in creating and executing basic performance, load, and stress test scenarios with tools such as k6.
• Run baseline performance tests and create documentation to capture key metrics such as response times, throughput, and error rates with tools such as Grafana.
• Leverage AI and emerging technologies to improve productivity, streamline workflows, and identify opportunities for continuous improvement while ensuring the responsible, secure, and compliant use of AI tools.
• Use generative AI development tools such as Codex and Cursor to accelerate test design, automation development, debugging, defect investigation, and technical documentation.
• Design, build, and integrate custom AI tools and agents into internal Quality Engineering workflows.
• Build integrations using Model Context Protocol (MCP), APIs, tool calls, and existing engineering systems.
• Apply prompt-engineering techniques to produce accurate, reusable, and maintainable AI-assisted workflows.
• Review and validate AI-generated code, test cases, and technical analysis to ensure accuracy, security, maintainability, and alignment with engineering standards.
• Evaluate emerging AI technologies and identify practical opportunities to improve product quality and engineering productivity.
• Follow security, privacy, and responsible-use practices when using AI tools with source code, customer information, or personally identifiable information.
• Design, build, and integrate custom AI tools and agents into internal workflows while serving as a technical subject matter expert on emerging AI technologies.

Requirements

• 5+ years of hands-on experience developing automated tests using test automation frameworks at the API and UI layers.
• 5+ years of experience with UI and API testing frameworks and tools such as Cypress, Selenium, Playwright, Postman, RestAssured, or similar.
• Proven experience in at least one scripting or programming language, such as C#, Java, TypeScript, JavaScript, Python, or similar.
• Solid technical understanding of SaaS platforms, REST APIs, web applications, databases, and distributed systems.
• Experience integrating automated tests into CI/CD pipelines.
• Introductory experience with industry tools such as k6, JMeter, Locust, or Postman performance testing.
• Basic understanding of APIs and how to test endpoints under simulated user load.
• Familiarity with application monitoring tools (e.g., Grafana, Datadog, New Relic) to observe system health during runs.
• Practical experience using generative AI development tools such as Codex, Cursor, GitHub Copilot, or similar tools in software development or Quality Engineering workflows.
• Experience designing prompts and reusable instructions for code generation, test creation, debugging, requirements analysis, or technical documentation.
• Experience building or integrating AI agents, AI-assisted automation, or custom internal AI tools.
• Familiarity with MCP, API-based integrations, tool calling, or connecting AI tools to internal systems and development workflows.
• Ability to critically review and validate AI-generated code, test cases, and recommendations.
• Understanding of security, privacy, access-control, and data-handling considerations when adopting AI tools in an enterprise environment.
• A 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 mobile platforms, including Android and iOS.
• Experience delivering quality products in Agile teams using technologies such as AWS Device Farm, microservices, Docker, and AWS.
• Experience building internal tools and quality dashboards.
• Experience creating AI agents or workflows that support 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 standards or best practices for the responsible use of generative AI in engineering teams.
• Experience with BDD and TDD practices.

What We Offer

• Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency).
• Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility.
• Wellness: We care about your well-being.
• Employee Resource Groups: Belonging is an important part of doing your best work.