Senior QA Engineer
Millennium Systems InternationalParisippany, NJ
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Overview
Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Remote
Remote
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
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. MSI is proud to be recognized as a New Jersey Top Workplace and Remote Top Workplace, along with earning Top Workplaces Culture Excellence Awards for Technology Industry, Work-Life Flexibility, Purpose & Values, Employee Well-Being, Employee Appreciation, and Professional Development.Our values are at the heart of how we work, collaborate, and succeed:
- InnovationDisruptionEmpowermentInspireCreativityIntegrityCandidates 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.
- Demonstrated ability to leverage AI-powered tools (e.g., GitHub 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.
- A track record of mentoring junior QA engineers and elevating team capabilities through knowledge sharing, pairing, and process improvement.
- Ability to champion and evangelize AI-augmented QA practices across the engineering organization.
- Experience identifying quality gaps, recommending tooling, and establishing repeatable best practices that scale.
- Strong communication and documentation skills — able to articulate technical concepts clearly for both engineering and non-technical stakeholders.
- Proactive, self-directed, and dependable, with a history of independently driving initiatives from concept through execution.
- Define and execute AI-augmented test strategies across functional, integration, and automation testing layers.
- Leverage AI tools to accelerate QA workflows — including test case design, automation script generation, defect root-cause analysis, and test documentation.
- Architect and maintain scalable test automation frameworks, integrating AI-assisted capabilities such as intelligent test selection, self-healing tests, and predictive defect analysis.
- Evaluate and pilot emerging AI-powered QA tools, building proof-of-concepts and making recommendations for adoption based on measurable quality and efficiency gains.
- Mentor and coach QA team members on both foundational QE practices and the effective use of AI tools in their daily work.
- Collaborate with engineering and product teams to embed quality earlier in the development lifecycle, advocating for shift-left testing and AI-supported code review.
- Contribute to CI/CD pipeline quality gates, ensuring automated functional checks are reliable, fast, and actionable.
- Establish and share best practices for responsible, effective use of AI in quality engineering across the organization.
- 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 modern frameworks (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.
- Experience with ETL / Data Warehouse testing across tools such as Fivetran, Databricks, Snowflake, or similar.
- Familiarity with data modeling concepts (star schema, fact/dimension tables) and data formats (Parquet, CSV, JSON).
- Experience validating end-to-end data flow from source systems through ETL processes to curated layers and visualization tools (Quicksight, Tableau, Power BI).
- Experience with data reconciliation — row counts, aggregations, and KPI accuracy.
- Familiarity with non-functional testing practices — performance, scalability, failover, reliability, and security.
- Hands-on experience with performance testing tools (JMeter, Locust, k6) or visual AI testing tools (Applitools).
- Experience with backend/API testing using tools such as Postman, REST Assured, or equivalent.
- Experience building custom AI agents, workflows, or integrations using APIs from LLM providers.
- Familiarity with observability and monitoring tools (Datadog, New Relic, Grafana).
- Knowledge of security testing practices and basic OWASP principles.
- Experience with test management tools such as Azure DevOps, Jira, TestRail, or Zephyr.
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FAQs About Senior QA Engineer Jobs at Millennium Systems International
What is the work location for this position at Millennium Systems International?
This job at Millennium Systems International is located in Parisippany, NJ, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Millennium Systems International?
Employer has not shared pay details for this role.
What employment applies to this position at Millennium Systems International?
Millennium Systems International lists this role as a Full-time position.
What experience level is required for this role at Millennium Systems International?
Millennium Systems International is looking for a candidate with "Senior-level" experience level.
Does Millennium Systems International allow remote work for this role?
Yes, this position at Millennium Systems International supports remote work, giving candidates the flexibility to work outside the primary office location.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by Millennium Systems International for this role?
Millennium Systems International offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Paid Holidays, Paid Vacation, Paid Sick Leave, Career Development, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Millennium Systems International?
You can apply for this role at Millennium Systems International either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.