Senior QA Analyst

Job Description

• Work Policy: Remote
• Job Type: Full Time
• Experience Level: Senior
• Core Tech Stack: Playwright, Selenium, Cypress, Python, JavaScript, SQL, CI/CD, AI/LLMs (Copilot, Claude)

About Millennium Systems International

Millennium Systems International is an award-winning business management software provider serving the beauty and wellness industry. The company is the creator of Meevo, a true all-in-one, HIPAA-compliant solution utilized daily by over 150,000 users across sophisticated spas, salons, and med spas. MSI is recognized as a Top Workplace and prides itself on a culture driven by innovation, empowerment, creativity, and integrity.

About the Role

MSI is searching for a forward-thinking Senior Quality Assurance Analyst who merges deep QA fundamentals with a passion for emerging AI tooling. In this remote role, you will act as a force multiplier for the entire QA organization, leveraging Large Language Models (LLMs), intelligent test generation, and intelligent automation to fundamentally transform how software is tested and shipped. You will collaborate directly with data, product, and engineering teams to seamlessly embed AI-assisted workflows into the daily software delivery lifecycle.

What You’ll Do

You will redefine testing strategies by heavily integrating AI capabilities into standard QA processes to boost efficiency and coverage.

• Define and execute highly effective AI-augmented test strategies covering functional, automation, and integration testing layers.
• Utilize AI tools to drastically accelerate everyday QA workflows, including script generation, test case design, defect root-cause analysis, and documentation.
• Architect, build, and maintain highly scalable test automation frameworks featuring self-healing tests, intelligent test selection, and predictive defect analysis.
• Evaluate, pilot, and integrate emerging AI-powered QA solutions, presenting proof-of-concepts based on measurable efficiency gains.
• Coach and mentor QA team members on utilizing AI tools effectively while maintaining foundational quality engineering practices.
• Partner closely with product and engineering units to shift testing left, advocating for AI-supported code reviews and early quality embedding.
• Contribute heavily to CI/CD pipelines to guarantee that automated functional checks remain fast, actionable, and reliable.
• Establish, document, and share best practices for the responsible application of AI within quality engineering across the company.

What You’ll Need

• A Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related technical discipline.
• Demonstrated professional experience in software Quality Engineering/Quality Assurance.
• Strong foundational knowledge in end-to-end testing strategy, release readiness, and risk-based testing across web and API layers.
• Robust programming skills in TypeScript, JavaScript, Python, C#, or equivalent languages.
• Proven track record building and scaling test automation using frameworks like Cypress, Selenium, or Playwright.
• Hands-on proficiency utilizing AI/LLM-powered tools (e.g., ChatGPT, Claude, GitHub Copilot) to accelerate test creation and analysis.
• Comfortable querying and managing data with SQL for test data setup and validation.
• Experience integrating automated checks into CI/CD pipelines and participating actively in Agile sprint planning.
• An understanding of the risks associated with AI-generated outputs, possessing the ability to critically review and refine suggestions.
• Must be a resident of the United States.

Nice to Have

• Experience with Data Warehouse or ETL testing tools like Databricks, Snowflake, or Fivetran.
• Familiarity with data formats (JSON, CSV, Parquet) and data modeling concepts.
• Experience validating end-to-end data flows and performing data reconciliation (KPI accuracy, aggregations).
• Knowledge of non-functional testing including scalability, performance (k6, JMeter), failover, and security (OWASP).
• Experience with observability tooling (Grafana, New Relic, Datadog) and test management platforms (Zephyr, TestRail).
• Experience constructing custom AI workflows or agents via LLM provider APIs.

Benefits

• 3 weeks of Paid Time Off (PTO) accruing from day one, plus 10 paid holidays, 5 paid sick days, and 1 personal day.
• Subsidized Medical, Dental, and Vision benefits with quick coverage activation.
• 100% employer-covered Life Insurance and Accidental Death & Dismemberment (AD&D).
• 100% employer-covered Long-Term Disability, plus Short-Term Disability options.
• 401(k) Retirement Plan featuring a 100% employer match on up to 4% of contributions.
• Unlimited access to Udemy’s online courses for ongoing professional development.