CES Family of Companies

Senior Software Quality Engineer

CES Family of Companies

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AzureCypressJavaScriptJenkinsPythonSelenium

About the role

  • Adopt AI-Driven Testing Workflows
  • Use AI-powered tools and copilots to design, execute, and optimize functional test cases, improving coverage and reducing repetitive effort.
  • Intelligent Test Design & Generation
  • Leverage LLM-based tools (e.g., ChatGPT, Testim, Mabl, or similar) to automatically generate and maintain functional test scenarios from user stories, requirements, or code changes.
  • Test Execution & Automation
  • Execute both manual and automated functional tests; use AI to detect redundant or flaky tests, and to suggest automation candidates.
  • AI-Assisted Defect Analysis
  • Use AI tools to analyze defect patterns, identify root causes faster, and recommend preventive actions or fixes.
  • Test Data Management
  • Employ AI tools to generate realistic, synthetic test data while preserving privacy and edge-case coverage.
  • Continuous Improvement & Documentation
  • Use AI copilots to document test results, generate reports, and maintain test scripts with minimal manual effort.
  • Collaboration & Reporting
  • Work closely with Product, Dev, and DevOps teams to integrate AI-driven insights into sprint cycles; present QA metrics enhanced by AI analytics.
  • Experiment & Evaluate Tools
  • Continuously explore new AI/ML-powered testing tools, evaluate their effectiveness, and recommend adoption strategies.

Requirements

  • 3–7 years of experience in functional QA (manual + automation) across web or mobile applications.
  • Strong understanding of software QA methodologies, test planning, and test case design.
  • Hands-on experience with one or more automation frameworks (e.g., Selenium, Playwright, Cypress).
  • Familiarity with AI-powered QA tools, such as: Testim, Mabl, Functionize, Appvance, or similar
  • Generative AI tools (ChatGPT, Copilot, Gemini, etc.) for test case generation & documentation
  • AI analytics tools for defect prediction and trend analysis
  • Proficiency in using AI copilots (e.g., GitHub Copilot, ChatGPT, TestGPT) for improving QA workflows.
  • Understanding of prompt engineering basics — how to instruct AI models for effective test design or analysis.
  • Basic scripting knowledge (e.g., Python, JavaScript, or similar) for integrating AI APIs into QA pipelines.
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
  • Strong analytical mindset and attention to detail.
Benefits
  • Opportunity to be an early adopter of AI-led quality engineering practices
  • Access to modern AI copilots and testing frameworks
  • Exposure to both traditional QA and AI-augmented quality engineering paradigms
  • Collaboration with cross-functional teams building next-gen digital products
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
functional QAtest planningtest case designautomation frameworksSeleniumPlaywrightCypressscriptingPythonJavaScript
Soft Skills
analytical mindsetattention to detailcollaborationcommunication