[Hiring] Senior Quality Assurance Engineer @Millennium Systems International

Role Description

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.

Qualifications

• 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.
• AI & Intelligent Tooling Skills
• 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.
• Leadership & Growth Mindset
• 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.

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.

Bonus 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.

Benefits

• Paid Time Off (PTO) and Holidays: Enjoy a generous 3 weeks of Paid Time Off (PTO) that begins accruing with every pay period from your very first day! Plus, you’ll enjoy ten (10) paid holidays throughout 2025, along with five (5) paid sick days and one (1) personal day.
• Medical, Dental, and Vision Benefits: We offer subsidized Medical, Dental, and Vision plans, with coverage kicking in quickly.
• Life Insurance: We provide Life Insurance and Accidental Death & Dismemberment (AD&D), fully covered by Millennium Systems International.
• Long-Term and Short-Term Disability Insurance: Millennium Systems International covers the full cost of Long-Term Disability at 100%.
• 401(k) Retirement Plan: You’ll be eligible to enroll in our robust 401(k) plan with a 100% match on up to 4% of your contributions.
• Learning & Development Opportunities: We offer unlimited access to Udemy’s online courses to support your development.