Senior QA Analyst

Millennium Systems International

. Define and execute AI-augmented test strategies across functional, integration, and automation testing layers .

Posted 11/4/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-augmented Quality Engineering, focusing on scalable test automation frameworks, AI tool integration, and effective mentoring of QA teams. Proficient in programming and automation tools to enhance testing efficiency and quality throughout the software delivery lifecycle.

Highest-signal resume keywords

AI-Augmented Test StrategiesTest Automation FrameworksProgramming Skills in Python, JavaScript, TypeScript, C#Experience with Playwright, Selenium, CypressCI/CD Integration and API Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Test AutomationQuality AssuranceAPI TestingSQL ProficiencyPrompt EngineeringAI Tool IntegrationRegression TestingExploratory TestingData ValidationDefect Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsAttention to DetailWritten CommunicationVerbal Communication

Tools & Technologies

PlaywrightSeleniumCypressGitHub CopilotChatGPTPostmanAzure DevOpsJiraTestRailGrafana

Industry Keywords

Quality EngineeringShift-Left TestingCI/CD PipelinesAgile TeamsAI-Powered QA Tools

Tech Stack

Tools & technologies

AzureCypressETLGrafanaJavaScriptJMeterPythonSeleniumSQLTypeScript

About the role

Key responsibilities & impact

Define and execute AI-augmented test strategies across functional, integration, and automation testing layers
Use AI tools for test case design, automation script generation, defect root-cause analysis, and test documentation
Architect and maintain scalable test automation frameworks with intelligent test selection, self-healing tests, and predictive defect analysis
Evaluate and pilot emerging AI-powered QA tools through proof-of-concepts and adoption recommendations
Mentor and coach QA team members on Quality Engineering practices and AI tool usage
Collaborate with engineering and product teams to embed quality earlier in development through shift-left testing and AI-supported code review
Contribute to CI/CD pipeline quality gates and ensure automated functional checks are reliable, fast, and actionable
Establish and share responsible, effective AI quality engineering best practices across the organization
Partner with engineering, product, and data teams across the software delivery lifecycle

Requirements

What you’ll need

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 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
Strong foundation in Quality Assurance and Quality Engineering fundamentals
Experience designing and executing web and API tests, including UI validation, regression, integration, and exploratory testing
Hands-on proficiency with Playwright, Selenium, or Cypress
SQL proficiency for test data setup, validation, and troubleshooting data integrity issues
Understanding of CI/CD pipelines
Experience working within Agile teams
Experience leveraging AI-powered tools such as GitHub Copilot, Claude, ChatGPT, Cursor, or similar LLM-based assistants
Experience with or strong aptitude for prompt engineering
Familiarity with AI-assisted test automation, self-healing locators, visual AI testing, or intelligent test selection/prioritization
Ability to evaluate and integrate AI-powered QA tools
Understanding of AI use for test data generation, synthetic data creation, and edge-case discovery
Ability to validate, review, and refine AI-generated outputs
Track record of mentoring junior QA engineers
Experience identifying quality gaps, recommending tooling, and establishing scalable best practices
Proactive, self-directed, and dependable work style
Bonus: ETL/Data Warehouse testing, data modeling, Parquet/CSV/JSON, data reconciliation, non-functional testing, JMeter/Locust/k6, Applitools, Postman/REST Assured, custom AI agents or LLM API integrations, Datadog/New Relic/Grafana, OWASP principles, Azure DevOps/Jira/TestRail/Zephyr

Benefits

Comp & perks

3 weeks of Paid Time Off (PTO)
Ten paid holidays throughout 2026
Five paid sick days
One personal day
Subsidized Medical, Dental, and Vision plans
Life Insurance and Accidental Death & Dismemberment (AD&D), fully employer-paid
Short-Term and Long-Term Disability insurance
Employer-paid Long-Term Disability coverage
401(k) plan with a 100% match on up to 4% of contributions through a Safe Harbor plan
Unlimited access to Udemy online courses
Remote work arrangement