Quality Assurance Engineer

Millennium Systems International is an exciting and dynamic software company based in Parsippany, New Jersey, known for producing high-quality applications for the Wellness and Spa industries. They are seeking a Quality Assurance Engineer to leverage AI and intelligent tooling to enhance software testing and quality processes across the organization.

Responsibilities:

• 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

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 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