Quality Engineer

Wellspring Worldwide

. Design, implement, and maintain automated test suites using Playwright .

Posted 9/29/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining automated test suites using Playwright and JMeter, with a strong focus on integrating tests into CI/CD pipelines and leveraging AI-assisted tools for test generation and validation. Capable of collaborating with cross-functional teams to identify quality risks and establish testing standards.

Highest-signal resume keywords

Playwright UI And API TestingJMeter Performance And Load TestingTypeScript/JavaScript ProgrammingCI/CD Pipeline IntegrationAI-Assisted Development Tools

ATS Keywords

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Hard Skills

Automated Test Suite DesignPerformance TestingLoad TestingTest Automation FrameworksTest Data StrategiesSelf-Healing ToolingTest Case ReviewRisk-Based JudgmentTest Execution SequencingObservability And Monitoring

Soft Skills

CollaborationCritical ReviewCommunicationProblem-SolvingTechnical Direction

Tools & Technologies

PlaywrightJMeterGitHub ActionsAI-Assisted ToolsCI/CD Pipelines

Industry Keywords

Quality EngineerSDETTest Automation EngineerAI-Enabled SystemsData-Driven Systems

Tech Stack

Tools & technologies

CloudJavaJavaScriptJMeterPythonTypeScript

About the role

Key responsibilities & impact

Design, implement, and maintain automated test suites using Playwright
Develop and maintain performance and load tests using JMeter
Create reusable test utilities, data strategies, and scalable testing patterns
Build and curate the shared foundation for consistent AI-generated tests
Keep the test suite healthy as authoring volume increases
Use AI-assisted tools to generate, refine, and maintain test cases and test data
Direct coding agents through the authoring loop by providing context and reviewing output
Review generated tests for silent failure modes
Use AI to find coverage gaps and propose edge cases, applying risk-based judgment
Use AI-assisted triage to distinguish likely regressions from flaky failures
Apply self-healing and auto-repair tooling with guardrails
Validate AI-enabled product behavior for correctness, reliability, and unintended outcomes
Feed recurring defect and failure patterns into shared context and conventions
Integrate automated tests into GitHub Actions-based CI/CD pipelines
Partner with Engineering and DevOps to improve pipeline quality gates
Manage test scope and execution sequencing to balance coverage, risk, and feedback time
Write tests and failure output legible to both AI agents and engineers
Collaborate with Product, Engineering, and Architecture to clarify requirements and identify quality risks early
Drive solutions to technical and testing challenges with cross-functional partners
Establish team standards for AI-driven test authoring
Document and communicate testing strategies, tradeoffs, and outcomes

Requirements

What you’ll need

Experience as a Quality Engineer, SDET, or Test Automation Engineer on production systems
Strong hands-on experience with Playwright for UI and API testing
Experience with performance and load testing using JMeter or similar tools
Solid programming skills in TypeScript/JavaScript, C#, Java, or Python
Experience integrating automated tests into CI/CD pipelines, preferably GitHub Actions
Working knowledge of modern architectures, including web applications, APIs, and cloud-based systems
Demonstrated, sustained daily use of at least one modern AI-assisted development tool
Ability to critically review AI-generated tests and code, identifying shallow coverage, incorrect assumptions, and plausible-looking output that does not hold up
Experience testing AI-enabled or data-driven systems is advantageous
Experience designing automation frameworks or shared testing infrastructure is advantageous
Familiarity with observability, monitoring, or quality metrics beyond pass/fail testing is advantageous
Experience building evaluation harnesses or test strategies for non-deterministic systems is advantageous
Experience structuring context for AI tooling, including prompt design, retrieval, or packaging codebase and domain knowledge for code and test generation, is advantageous
A point of view on where AI-assisted testing genuinely helps is advantageous