We are in search of a Quality Assurance Engineer - AI-Augmented Quality Engineering to help supplement the growth and scaling of the company. Millennium Systems International is honored to have been ...
We are in search of a Quality Assurance Engineer - AI-Augmented Quality Engineering to help supplement the growth and scaling of the company. Millennium Systems International is honored to have been ...
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Associate Quality Assurance Engineer information
See salary details
$12.98 - $17.44
17% of jobs
$18.91 is the 25th percentile. Wages below this are outliers.
$17.44 - $21.90
24% of jobs
The median wage is $24.13 / hr.
$21.90 - $26.35
18% of jobs
$26.35 - $30.81
15% of jobs
$31.18 is the 75th percentile. Wages above this are outliers.
$30.81 - $35.27
10% of jobs
$35.27 - $39.73
8% of jobs
$39.73 - $44.19
5% of jobs
$44.19 - $48.65
3% of jobs
$48.65 - $53.10
0% of jobs
$53.10 - $57.56
0% of jobs
$57.56 - $62.02
0% of jobs
$12
$29
$62
How much do associate quality assurance engineer jobs pay per hour?
What are the key skills and qualifications needed to thrive as an Associate Quality Assurance Engineer, and why are they important?
What are some common challenges faced by an Associate Quality Assurance Engineer, and how can they be addressed?
What does an Associate Quality Assurance Engineer do?
What is the difference between Associate Quality Assurance Engineer vs Quality Assurance Tester?
| Aspect | Associate Quality Assurance Engineer | Quality Assurance Tester |
|---|---|---|
| Credentials | Typically requires a bachelor's degree in computer science or related field | Often requires a high school diploma or associate degree, with some roles preferring certifications |
| Work Environment | Involves collaboration with development teams, participating in test planning and automation | Primarily focused on executing test cases and reporting bugs |
| Industry Usage | Common in software development companies, tech firms, and IT services | Widely used across software, gaming, and app development industries |
The Associate Quality Assurance Engineer typically has a broader role involving test planning, automation, and collaboration, while a Quality Assurance Tester mainly executes test cases and reports issues. Both roles are essential in ensuring software quality but differ in scope and responsibilities.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 13 days ago
Job description
About the Role:
We are looking for a forward-thinking 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.
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.
We offer:
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 because we believe in taking care of you!
Medical, Dental, and Vision Benefits
Your well-being is a priority! We offer subsidized Medical, Dental, and Vision plans, with coverage kicking in quickly. It's all about making sure you stay healthy, happy, and well-cared for.
Life Insurance
Peace of mind for you and your loved ones! We provide Life Insurance and Accidental Death & Dismemberment (AD&D). What's even better? Millennium Systems International fully covers the entire cost, 100% on us!
Long-Term and Short-Term Disability Insurance
Stay secure no matter what life brings your way. Short-Term and Long-Term Disability insurance. And we've got your back, Millennium Systems International covers the full cost of Long-Term Disability at 100%.
401(k) Retirement Plan
Plan for your future with confidence! You'll be eligible to enroll in our robust 401(k) plan. When you do, you'll enjoy a 100% match on up to 4% of your contributions, thanks to our Safe Harbor plan. It's our way of helping you build a brighter tomorrow.
Pay Transparency
Millennium Systems International is committed to providing all Team Members with competitive wages and salaries that are motivational, fair, and equitable. Our compensation program reflects our core values of Teamwork, Excellence, and Integrity, ensuring transparency and fairness while attracting top talent and fostering an environment that encourages growth and retention.
We believe that every Team Member is integral to our collective success, and we value the diverse perspectives, creativity, and innovation they bring. Our compensation packages are designed to reflect individual contributions, taking into account skill set, experience, certifications, and work location.
In line with our Client-Centric philosophy, we recognize that the success of our Team Members contributes directly to the success of our clients. As such, we offer compensation packages that not only motivate but also reward performance and excellence.
The base salary range for this position in the United States is $55,000 to $70,000. In addition to base pay, the total compensation package may also include commission, performance bonuses, benefits, and/or other applicable incentive compensation plans.
At Millennium Systems International, we approach every challenge with Passion, striving to exceed expectations, solve challenges with urgency and determination, and create an environment where Team Members thrive and celebrate each other's successes.