QA Engineer: AI-Powered Testing for Data-Heavy SaaS

ECFX; United States; On-site; USD 85,000 - 130,000; Full time

Job summary

ECFX is seeking a hands-on QA Engineer to join our team and protect product quality across web-based SaaS offerings. You will design and execute test cases, prioritize risk, and drive thorough verification with a focus on data integrity and reliability.

You will perform manual and exploratory testing, validate API and backend behavior, and use AI-assisted testing techniques to improve coverage. Collaboration with engineering and product teams is essential.

Qualifications

• 3–7 years of software quality assurance experience for web or SaaS products.
• Strong hands-on experience with exploratory and manual testing of complex data-heavy systems.
• Comfort testing AI-assisted features and validating data integrity across endpoints.

Responsibilities

• Execute risk-based exploratory, functional, and regression testing.
• Test across UI and backend using API calls, SQL, and logs.
• Identify, document, and track defects with clear repro steps and acceptance criteria.
• Collaborate with engineers and product managers to define test plans and acceptance criteria.

Skills

Exploratory testing

Manual testing

Web applications

Attention to detail

Education

Bachelor's degree in CS/IS

Tools

Jira

Playwright

SQL

Git

Job description

ECFX is seeking a hands-on QA Engineer to join our team and protect product quality across web-based SaaS offerings. You will design and execute test cases, prioritize risk, and drive thorough verification with a focus on data integrity and reliability.

You will perform manual and exploratory testing, validate API and backend behavior, and use AI-assisted testing techniques to improve coverage. Collaboration with engineering and product teams is essential.