QA Engineer - AI-Driven Testing for Impact Lending

Movement-Mortgage; South Carolina; On-site; USD 65,000 - 86,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Disability

Critical Care

Hospitalization

HSA

FSA

401(k)

Roth 401(k)

Relocation packages available

Paid Time Off 16 days

11.5 paid holidays per year

Employee assistance program

Career growth opportunities

Job summary

Movement Mortgage is seeking an early-career software quality engineer to help define and execute robust testing across web apps, APIs, and integrated systems. You will collaborate with engineers and product teams to validate features, troubleshoot issues, and drive quality throughout the development lifecycle.

You will apply modern testing practices, contribute to automation, and explore AI-assisted tooling to improve efficiency and outcomes in a collaborative, agile environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field.
• Curious, driven to understand how systems work and how to improve them.
• Interest in AI-assisted software development and emerging tools.

Responsibilities

• Learn and apply modern software quality engineering practices across web apps, APIs, and integrated systems.
• Develop, execute, and maintain manual and automated test coverage.
• Partner with engineers and product teams to validate new features and identify issues early.
• Leverage AI tools to improve testing workflows, productivity, and quality.

Skills

Java

JavaScript

Python

C#

APIs

Git

Education

Bachelor's degree in Computer Science or related field

Tools

Git

APIs

SQL

CI/CD

Job description

Movement Mortgage is seeking an early-career software quality engineer to help define and execute robust testing across web apps, APIs, and integrated systems. You will collaborate with engineers and product teams to validate features, troubleshoot issues, and drive quality throughout the development lifecycle.

You will apply modern testing practices, contribute to automation, and explore AI-assisted tooling to improve efficiency and outcomes in a collaborative, agile environment.