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 are looking for detailed-oriented AQA Engineer. This person is responsible for validating the quality of our software through thorough exploratory, functional, and regression testing. This person is analytical, proactive, and passionate about delivering high-quality user experiences.
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 fla
