Senior QA Analyst
Posted 1hrs ago
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Job Description
Senior QA Analyst applying AI-powered automation and intelligent tooling to test Meevo, Millennium Systems International’s salon and wellness management software. Improving quality across web, API, and CI/CD workflows.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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


















