
201 - 500 employees
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Millennium Systems International is a company dedicated to empowering beauty and wellness businesses through their innovative software platform called Meevo. This mobile-friendly solution provides real-time data and AI-powered tools tailored for salons, spas, and med spas, enhancing client experiences and driving revenue. With features like online booking, appointment management, and integrated marketing tools, Meevo supports business growth while ensuring seamless operations across single-location and multi-location enterprises.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
đź”§ QA Engineer (Quality Assurance)
đź‘» Ghost score 10%
Where this job comes from
Posted on Millennium Systems International's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

201 - 500 employees
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Millennium Systems International is a company dedicated to empowering beauty and wellness businesses through their innovative software platform called Meevo. This mobile-friendly solution provides real-time data and AI-powered tools tailored for salons, spas, and med spas, enhancing client experiences and driving revenue. With features like online booking, appointment management, and integrated marketing tools, Meevo supports business growth while ensuring seamless operations across single-location and multi-location enterprises.
• Define and execute AI-augmented test strategies across functional, integration, and automation testing layers • Use AI tools for test case design, automation script generation, defect root-cause analysis, and test documentation • Architect and maintain scalable test automation frameworks with intelligent test selection, self-healing tests, and predictive defect analysis • Evaluate and pilot emerging AI-powered QA tools through proof-of-concepts and adoption recommendations • Mentor and coach QA team members on Quality Engineering practices and AI tool usage • Collaborate with engineering and product teams to embed quality earlier in development through shift-left testing and AI-supported code review • Contribute to CI/CD pipeline quality gates and ensure automated functional checks are reliable, fast, and actionable • Establish and share responsible, effective AI quality engineering best practices across the organization • Partner with engineering, product, and data teams across the software delivery lifecycle
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field • Demonstrated professional experience in software Quality Assurance / Quality Engineering • Strong programming skills in one or more languages: Python, JavaScript, TypeScript, C#, or equivalent • Proven experience building and maintaining test automation at scale using Playwright, Selenium, Cypress, or similar • Demonstrated, hands-on experience using AI/LLM-powered tools to improve QA efficiency, coverage, or speed • Experience with API testing and CI/CD integration • Strong analytical and problem-solving skills with excellent attention to detail • Excellent written and verbal communication skills • Strong foundation in Quality Assurance and Quality Engineering fundamentals • Experience designing and executing web and API tests, including UI validation, regression, integration, and exploratory testing • Hands-on proficiency with Playwright, Selenium, or Cypress • SQL proficiency for test data setup, validation, and troubleshooting data integrity issues • Understanding of CI/CD pipelines • Experience working within Agile teams • Experience leveraging AI-powered tools such as GitHub Copilot, Claude, ChatGPT, Cursor, or similar LLM-based assistants • Experience with or strong aptitude for prompt engineering • Familiarity with AI-assisted test automation, self-healing locators, visual AI testing, or intelligent test selection/prioritization • Ability to evaluate and integrate AI-powered QA tools • Understanding of AI use for test data generation, synthetic data creation, and edge-case discovery • Ability to validate, review, and refine AI-generated outputs • Track record of mentoring junior QA engineers • Experience identifying quality gaps, recommending tooling, and establishing scalable best practices • Proactive, self-directed, and dependable work style • Bonus: ETL/Data Warehouse testing, data modeling, Parquet/CSV/JSON, data reconciliation, non-functional testing, JMeter/Locust/k6, Applitools, Postman/REST Assured, custom AI agents or LLM API integrations, Datadog/New Relic/Grafana, OWASP principles, Azure DevOps/Jira/TestRail/Zephyr
• 3 weeks of Paid Time Off (PTO) • Ten paid holidays throughout 2026 • Five paid sick days • One personal day • Subsidized Medical, Dental, and Vision plans • Life Insurance and Accidental Death & Dismemberment (AD&D), fully employer-paid • Short-Term and Long-Term Disability insurance • Employer-paid Long-Term Disability coverage • 401(k) plan with a 100% match on up to 4% of contributions through a Safe Harbor plan • Unlimited access to Udemy online courses • Remote work arrangement
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