Senior QA Automation Engineer: AI-Driven Data & Fullstack

Nybble Group; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Birthday off

Sick leave

Study leave

Discounts platform

Connectivity stipend

Job summary

Nybble Group is seeking a highly proactive Senior QA Automation Engineer to combine fullstack testing with data validation and AI‑driven automation. You will define end‑to‑end quality strategies for frontend UIs and complex backend systems, ensuring reliability, scalability, and accuracy.

The ideal candidate uses AI-assisted testing tools to accelerate automation, focuses on backend data integrity, and collaborates with engineers, data specialists, and product managers to define acceptance

Qualifications

• More than five years of QA automation experience.
• Proven fullstack testing across frontend and backend.
• Strong data testing and SQL validation experience.
• Experience with AI-assisted testing tools.

Responsibilities

• Architect, build, and maintain scalable test automation frameworks for frontend and backend.
• Drive backend data testing, including SQL validation, data schema checks, and pipelines.
• Leverage AI tools to accelerate automation and data generation.
• Perform end-to-end validation across web UIs, APIs, and databases.
• Integrate test suites into CI/CD and automated quality gates.
• Identify data anomalies and performance bottlenecks in distributed systems.
• Collaborate with engineers, data teams, and product managers on acceptance criteria.
• Document testing strategies and data validation paths.

Skills

Fullstack testing

AI-driven testing tools

Backend data testing

API testing

Playwright

Selenium

Cypress

Postman

Python

C#

English (C1)

Education

Bachelor's degree in Computer Science or related field

Tools

Playwright

Selenium

Cypress

Postman

AI testing assistants

Job description

Nybble Group is seeking a highly proactive Senior QA Automation Engineer to combine fullstack testing with data validation and AI‑driven automation. You will define end‑to‑end quality strategies for frontend UIs and complex backend systems, ensuring reliability, scalability, and accuracy.

The ideal candidate uses AI-assisted testing tools to accelerate automation, focuses on backend data integrity, and collaborates with engineers, data specialists, and product managers to define acceptance