Senior QA Engineer Job Chicago Illinois USA,Software Development

Millennium Systems International is the leading business management software provider for the beauty and wellness industry and the maker of Meevo. Built over three decades of insight, innovation, and disruption, Meevo is a true all-in-one solution for sophisticated salons, spas, and med spas looking to bolster their successes. Meevo grows with you, supporting your goals and vision every step of the way with reliable tools you can count on today and tomorrow.

Meevo is HIPAA compliant and user-friendly, with more than 150,000 users logging in daily to help their salon, spa, and med spa businesses thrive.

We’re just as passionate about our people as we are about our product. Our values are at the heart of how we work, collaborate, and succeed:

Innovation
Disruption
Empowerment
Inspire
Creativity
Integrity

Candidates must reside in the United States. Millennium Systems International participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About the Role:

We are looking for a forward-thinking Senior Quality Assurance Engineer who combines deep QA expertise with a passion for applying AI and intelligent tooling to transform how we test, validate, and ship software. This role goes beyond traditional testing — you will be a force multiplier for the QA organization, leveraging large language models, AI-powered test generation, intelligent automation, and data-driven insights to accelerate quality across the full software delivery lifecycle.

You’ll partner closely with engineering, product, and data teams to embed AI‑assisted practices into everyday QA workflows — from smarter test case design and automated defect triage to predictive risk analysis and self‑healing test frameworks.
This is a remote position.

What We’re Looking For:

Core Quality Engineering Skills

Strong foundation in Quality Assurance and Quality Engineering fundamentals, including end-to-end testing strategy, risk-based testing, and release readiness.
Proven experience designing and executing tests across web and API layers — including UI validation, regression, integration, and exploratory testing.
Hands‑on proficiency with test automation frameworks such as Playwright, Selenium, or Cypress, with the ability to architect scalable, maintainable test suites.
Comfortable working with SQL for test data setup, validation, and troubleshooting data integrity issues across environments.
Solid understanding of CI/CD pipelines and the ability to integrate automated checks into build and deployment workflows.
Experience working within Agile teams, contributing to sprint planning, test estimation, and release coordination.

AI & Intelligent Tooling Skills

Demonstrated ability to leverage AI-powered tools (e.g., Git Hub Copilot, Claude, ChatGPT, Cursor, or similar LLM-based assistants) to accelerate test case generation, script authoring, defect analysis, and documentation.
Experience with — or strong aptitude for — prompt engineering techniques to extract high-quality, context-aware outputs from AI models for QA workflows.
Familiarity with AI‑assisted test automation approaches such as self‑healing locators, visual AI testing (e.g., Applitools), or intelligent test selection/prioritization.
Ability to evaluate, pilot, and integrate new AI-powered QA tools into existing processes, measuring impact on speed, coverage, and defect detection.
Understanding of how to use AI for test data generation, synthetic data creation, and edge‑case discovery.
Awareness of the limitations and risks of AI-generated outputs — able to validate, review, and refine AI suggestions rather than accepting them uncritically.

Leadership & Growth Mindset

A track record of mentoring junior QA…