Senior General QA Engineer

Senior General QA Engineer
Location: Remote (Canada)
Engagement Type: B2B contractor
Compensation: $90,000 USD/year
About Tie
Tie is building the next generation of identity resolution and marketing intelligence. Our
platform connects hundreds of millions of consumers across devices, browsers, and
channels-without relying on cookies-to power higher deliverability, smarter targeting,
and measurable revenue lift for modern marketing teams.
At Tie, AI is not a feature-it is a core execution advantage. We operate large-scale
identity graphs, real-time scoring systems, and production ML pipelines that directly
impact revenue, deliverability, and customer growth.
The Role
We're looking for a Senior General QA Engineer who enjoys owning product quality
end-to-end. This role combines manual exploratory testing, automation, release
validation, and close collaboration with engineering and product teams. While we
actively leverage AI tools and automation, the day-to-day work depends on business
priorities, so we're looking for someone who is equally comfortable with hands-on
manual testing and building automation where it adds the most value.
Technical Responsibilities
- Review requirements, user stories, and design documents to create detailed and
comprehensive test cases and checklists
- Perform functional, integration, UI/UX, and regression testing across web, data,
3d party apps and/or API layers.
- Test on multiple browsers, devices, and screen resolutions to ensure
cross-platform consistency
- Execute manual test cases and report issues with clear reproduction steps and
severity levels
- Verify fixes and perform retesting and smoke testing
- Maintain test case repositories (e.g., TestRail, Zephyr, Xray, etc.)
- Perform basic API testing using tools like Postman
- Use developer tools (e.g., Chrome DevTools, browser console) to investigate
issues
- Track and manage bugs using tools like Jira
- Support release validation in redesign, staging and production environments or
any other required.
- Collaborate with developers and product managers to ensure test coverage and
align QA efforts with release goals
- Collaborate with business, customer success to ensure the test coverage and
align QA efforts with business goals.
Automation & AQA Responsibilities
- Develop and maintain automated test suites for UI and API layers using
frameworks like Playwright, Cypress, or Selenium
- Integrate test automation into the CI/CD pipeline to enable fast and reliable
deployments
- Prioritize what to automate based on risk, stability, and ROI, complementing
manual testing
- Validate data flows and transformation logic in data-driven applications by
writing automated assertions against APIs and backend responses
- Build reusable utilities and selectors to support robust and maintainable test
scripts
- Work closely with developers to ensure testability and coverage of edge cases
- Use version control (e.g., Git) and test reporting tools (e.g., Allure, TestNG
reports) to ensure traceability
- Support debugging and root cause analysis by capturing logs, screenshots, and
network traces during test execution
- Maintain a hybrid approach, knowing when to use exploratory/manual testing
alongside automation to uncover UI/UX or logic-related issues
Data-Driven Application Testing
- Validate the accuracy, completeness, and integrity of data throughout the user
journey
- Perform data validation across frontend, backend, and database layers,
including comparing displayed data with source systems or API responses
- Ensure business rules and data logic are correctly applied (e.g., filters,
transformations, aggregations)
- Test the impact of edge cases and malformed data inputs on application
behavior
- Perform SQL-based verification (or through data exports) to confirm data
correctness, where applicable
- Validate data syncing between systems, especially in applications that consume
or expose third-party data via APIs
- Monitor how updates to records, entries, or data states reflect across the
application (e.g., state transitions, user-based data visibility)
Non-Technical Responsibilities
- Participate in daily stand-ups, sprint planning, and retrospectives to represent
QA priorities
- Communicate bugs and quality concerns clearly to cross-functional teams
- Proactively raise red flags if requirements are unclear, incomplete, or inconsistent
- Help define and improve QA processes, checklists, and acceptance criteria
- Collaborate with product and design teams to ensure test scenarios reflect user
expectations
- Own the quality mindset for the features being delivered
- Provide feedback on usability and suggest improvements from a user
perspective
- Maintain a clear audit trail of testing progress and coverage
- Be a champion for documentation, keeping test plans and QA procedures up to
date
- Collaborate with QA Team Lead in providing feedbacks and reviews of QA
strategies, processes, practices.
Working in Ambiguous and Fast-Paced Environments
- Confidently test features with minimal or evolving specifications, using
exploratory testing and product intuition to uncover edge cases
- Collaborate closely with developers, product managers, and other stakeholders
to clarify intent and co-create acceptance criteria when missing
- Document findings, gaps, and assumptions clearly to reduce miscommunication
and improve team alignment
- Adapt quickly to frequent changes in priorities or scope, while ensuring quality is
not compromised
- Use structured approaches to test loosely defined features, such as
session-based test charters or heuristic checklists
- Maintain composure and clear prioritization even during high-pressure releases,
rollbacks, or urgent hotfixes
Requirements
Technical
- 5+ years of manual testing experience for web applications
- 2+ years of automation testing experience(Playwright or Cypress must
have(JS/TS))
- Strong understanding of Agile methodologies, specifically Scrum and Kanban
- Familiarity with bug tracking and test case management tools(QASE, Testomat,
TestRail, etc.)
- Experience testing REST APIs (even at a basic level)
- Experience with Data verifications
- Ability to test across various browsers and responsive breakpoints
As a plus:
- Experience with AI in both automated tests and day2day work will be a
plus(Claude.ai)
Non-Technical
- Detail-oriented mindset and strong analytical thinking
- Clear and concise communicator in both written and verbal form, English.
- Proactive communication cros-team
- Comfortable working in fast-paced, changing environments
- Ability to manage time and tasks independently
- Proactive attitude and a sense of ownership for quality
Important: This is a General QA role. While automation is an important part of the job, the
day-to-day work varies based on business priorities. Some sprints are automation-heavy,
while others require more manual exploratory testing, release validation, production
support, and close collaboration with engineering and product teams. We're looking for
someone who enjoys both aspects of QA and is comfortable switching between them.
What We Offer
- Competitive compensation, including salary, equity, and performance incentives
- Opportunity to work on core AI systems that directly impact revenue and product
differentiation
- High ownership and autonomy in a senior, hands-on role
- Remote-first culture with a strong engineering and data focus
- Exposure to cutting-edge problems in identity resolution, graph ML, and real-time
AI systems
- Clear growth path toward Staff / Principal IC roles
What else:
- 4 weeks of paid vacation per year (flexible scheduling)
- Unlimited sick leave - we trust your judgment and care about your health
- US Bank Holidays off (American calendar)
- Remote-first culture and flexible working hours
- Flat structure, no micromanagement, and full ownership
- Opportunity to make a real impact during a critical growth phase
Interview Process
- Recruitment Screening Call
- Test task in HackerRank for 1h
- Technical deep dive Interview (1,5h)
- Final interview with CTO
Why Join Us?
- Real ownership and autonomy
- Opportunity to shape delivery across the entire engineering organization
- Exposure to SaaS, data, integrations, automation, and platform work
- Collaboration with global teams and vendors
- A strong product with real scale and momentum

Work arrangement
Yes