Senior QA Automation Engineer (AI & Data)
- Hiring from
- Probably Worldwide
- Work type
- Remote
- Posted
- Oct 1, 2026
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We are looking for a highly proactive Senior QA Automation Engineer who combines fullstack testing expertise with a strong focus on data validation and AI-driven automation.
In this role, you will be responsible for defining and executing end-to-end quality strategies across both frontend user interfaces and complex backend systems.
The ideal candidate is exceptionally savvy with modern AI technologies and leverages AI-assisted testing tools to innovate automation workflows. You will pay special attention to backend data integrity, database testing, and API flows, ensuring that our platform remains reliable, scalable, and highly accurate.
● Drive comprehensive backend data testing, including complex SQL query validation, data schema verification, data pipeline testing, and data consistency checks.
● Leverage AI-driven tools, machine learning concepts, and AI testing assistants to accelerate automation suite creation, smart regression execution, and test data generation.
● Perform end-to-end quality validation across web interfaces, RESTful APIs, and underlying database architectures.
● Integrate automated test suites into CI/CD pipelines to establish automated quality gates across deployment environments.
● Identify data anomalies, edge cases, and performance bottlenecks across complex distributed systems.
● Collaborate closely with software engineers, data specialists, and product managers to define clear acceptance criteria and definition of done standards.
● Document testing strategies, automation blueprints, and data validation paths to foster engineering best practices.
● More than five years of professional experience in software quality assurance with a proven track record in test automation.
● Demonstrated expertise in fullstack testing, covering both frontend UI automation and backend service testing.
● Strong backend testing focus, specifically in data testing, database architecture verification, and complex SQL validation.
● Proven hands-on experience and high savviness with AI-driven testing tools, AI coding assistants, or automated testing workflows.
● Proficiency in modern automation frameworks such as Playwright, Selenium, or Cypress.
● Advanced experience in API testing and validation using Postman or automated API frameworks.
● Programming proficiency in languages commonly used for automation, such as Python or C#.
● Advanced English level (C1) with excellent communication skills.
● Professional growth opportunities and continuous learning.
● A collaborative and innovative work environment.
● 2 weeks PTO
● Birthday off
● Sick leave
● Study leave
● Discounts platform
● 25 usd worth of connectivity expenses
In this role, you will be responsible for defining and executing end-to-end quality strategies across both frontend user interfaces and complex backend systems.
The ideal candidate is exceptionally savvy with modern AI technologies and leverages AI-assisted testing tools to innovate automation workflows. You will pay special attention to backend data integrity, database testing, and API flows, ensuring that our platform remains reliable, scalable, and highly accurate.
Key Responsibilities:
● Architect, build, and maintain scalable test automation frameworks covering both frontend applications and backend services.● Drive comprehensive backend data testing, including complex SQL query validation, data schema verification, data pipeline testing, and data consistency checks.
● Leverage AI-driven tools, machine learning concepts, and AI testing assistants to accelerate automation suite creation, smart regression execution, and test data generation.
● Perform end-to-end quality validation across web interfaces, RESTful APIs, and underlying database architectures.
● Integrate automated test suites into CI/CD pipelines to establish automated quality gates across deployment environments.
● Identify data anomalies, edge cases, and performance bottlenecks across complex distributed systems.
● Collaborate closely with software engineers, data specialists, and product managers to define clear acceptance criteria and definition of done standards.
● Document testing strategies, automation blueprints, and data validation paths to foster engineering best practices.
Required Qualifications:
● University degree in Computer Science, Software Engineering, Information Technology, or a related field.● More than five years of professional experience in software quality assurance with a proven track record in test automation.
● Demonstrated expertise in fullstack testing, covering both frontend UI automation and backend service testing.
● Strong backend testing focus, specifically in data testing, database architecture verification, and complex SQL validation.
● Proven hands-on experience and high savviness with AI-driven testing tools, AI coding assistants, or automated testing workflows.
● Proficiency in modern automation frameworks such as Playwright, Selenium, or Cypress.
● Advanced experience in API testing and validation using Postman or automated API frameworks.
● Programming proficiency in languages commonly used for automation, such as Python or C#.
● Advanced English level (C1) with excellent communication skills.
What We Offer:
● Competitive salary and benefits package.● Professional growth opportunities and continuous learning.
● A collaborative and innovative work environment.
● 2 weeks PTO
● Birthday off
● Sick leave
● Study leave
● Discounts platform
● 25 usd worth of connectivity expenses