Senior QA Analyst

Millennium Systems International • Parsippany, NJ

1d • Remote

About The Position

Millennium Systems International (MSI), the maker of Meevo, provides business management software for the beauty and wellness industry. The company is seeking a forward-thinking Senior Quality Assurance Analyst to apply deep QA expertise and AI-powered tools to improve how software is tested, validated, and shipped. This remote role partners with engineering, product, and data teams to incorporate AI-assisted practices into QA workflows throughout the software delivery lifecycle, including test design, defect triage, risk analysis, and test automation. Candidates must reside in the United States. MSI participates in E-Verify.

The analyst will define and execute AI-augmented test strategies, build and maintain scalable automation frameworks, evaluate emerging QA tools, and help integrate reliable automated checks into CI/CD pipelines. The role also mentors QA team members, promotes responsible AI use, and works with teams to embed quality earlier in development. The position calls for professional software QA or Quality Engineering experience, programming ability, automation and API testing experience, and hands-on use of AI/LLM-powered tools. A bachelor's degree in a relevant technical field is required.

MSI describes its workplace values as Innovation, Disruption, Empowerment, Inspire Creativity, and Integrity. The company offers PTO and holidays, medical, dental and vision coverage, life and disability insurance, a 401(k) plan with a stated match, and learning and development opportunities.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Professional experience in software Quality Assurance or Quality Engineering.
• Strong programming skills in one or more languages, such as Python, JavaScript, TypeScript, or C#, or equivalent.
• Experience building and maintaining test automation at scale using modern frameworks such as Playwright, Selenium, or Cypress, or similar.
• Hands-on experience using AI/LLM-powered tools to improve QA efficiency, coverage, or speed.
• Experience with API testing and CI/CD integration.
• Strong foundation in QA and QE fundamentals, including end-to-end test strategy, risk-based testing, and release readiness.
• Experience designing and executing web and API tests, including UI validation, regression, integration, and exploratory testing.
• Comfort with SQL for test data setup, validation, and troubleshooting data integrity issues across environments.
• Understanding of CI/CD pipelines and integrating automated checks into build and deployment workflows.
• Experience working in Agile teams, contributing to sprint planning, test estimation, and release coordination.
• Strong analytical and problem-solving skills and attention to detail.
• Excellent written and verbal communication skills.
• Ability to use and critically review AI-generated outputs, validating and refining suggestions rather than accepting them uncritically.

Nice To Haves

• Experience with ETL or data warehouse testing using tools such as Fivetran, Databricks, or Snowflake.
• Familiarity with data modeling concepts, including star schemas and fact/dimension tables, and data formats such as Parquet, CSV, and JSON.
• Experience validating end-to-end data flows from source systems through ETL processes to curated layers and visualization tools such as Quicksight, Tableau, or Power BI.
• Experience with data reconciliation, including row counts, aggregations, and KPI accuracy.
• Familiarity with non-functional testing, including performance, scalability, failover, reliability, and security.
• Hands-on experience with performance testing tools such as JMeter, Locust, or k6, or visual AI testing tools such as Applitools.
• Experience with backend/API testing tools such as Postman or REST Assured, or equivalent.
• Experience building custom AI agents, workflows, or integrations using LLM provider APIs.
• Familiarity with observability and monitoring tools such as Datadog, New Relic, or Grafana.
• Knowledge of security testing practices and basic OWASP principles.
• Experience with test management tools such as Azure DevOps, Jira, TestRail, or Zephyr.
• Experience mentoring junior QA engineers and improving team capabilities through knowledge sharing, pairing, and process improvement.
• Ability to champion AI-augmented QA practices, identify quality gaps, recommend tools, and establish scalable best practices.
• Experience with prompt engineering for context-aware QA workflows.
• Familiarity with AI-assisted testing approaches such as self-healing locators, visual AI testing, and intelligent test selection or prioritization.
• Ability to evaluate and integrate AI-powered QA tools and measure their impact on speed, coverage, and defect detection.
• Understanding of AI for test data generation, synthetic data creation, and edge-case discovery.
• Proactive, self-directed, and dependable approach, including independently driving initiatives from concept through execution.

Responsibilities

• Define and execute AI-augmented test strategies across functional, integration, and automation testing layers.
• Use AI tools to accelerate test case design, automation script generation, defect root-cause analysis, and test documentation.
• Architect and maintain scalable test automation frameworks, incorporating capabilities such as intelligent test selection, self-healing tests, and predictive defect analysis.
• Evaluate and pilot emerging AI-powered QA tools, create proofs of concept, and recommend adoption based on measurable quality and efficiency gains.
• Mentor and coach QA team members in Quality Engineering practices and effective daily use of AI tools.
• Collaborate with engineering and product teams to embed quality earlier in development, advocate for shift-left testing, and support AI-assisted code review.
• Contribute quality gates to CI/CD pipelines and ensure automated functional checks are reliable, fast, and actionable.
• Establish and share best practices for responsible and effective use of AI in Quality Engineering.

Benefits

• Three weeks of paid time off accruing from the first day, ten paid holidays throughout 2026, five paid sick days, and one personal day.
• Subsidized medical, dental, and vision plans.
• Company-paid life insurance and Accidental Death & Dismemberment (AD&D) insurance.
• Short-term and long-term disability insurance; the company covers the full cost of long-term disability insurance.
• 401(k) plan with a 100% match on up to 4% of employee contributions, described as a Safe Harbor plan.
• Unlimited access to Udemy online courses and learning and development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior