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Senior QA Automation Engineer / SDET (Local to MA)

Lorvenk Technologies LLCBoston, MA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationBoston, MA, United States
DockerSQLGitAWSSeleniumGPTGitHub ActionsJUnitJavaJenkinsPlaywrightTestNGGenerative AIRESTSOAPAzureKubernetesTypeScriptCI/CDAzure DevOpsMavenRAG

Job description

Role: Senior QA Automation Engineer / SDET
Location: Boston, MA (Hybrid- 4 Days Onsite)
Exp: 8+
Duration: 12 Months +
Interview: In-Person

Seeking a Senior QA Automation Engineer / SDET to help drive the next generation of AI-powered test automation across our digital sales, service, billing, and policy administration platforms. The ideal candidate has strong hands-on experience with Playwright and modern automation frameworks, along with practical experience applying Agentic AI and Generative AI to test design, automation development, execution, and maintenance.
We are particularly interested in candidates who have worked with AI-driven testing concepts such as Planner, Generator, Validator, Analyzer, and Healer agents.
Test Automation Engineering
  • Design, develop, and maintain scalable UI, API, and end-to-end automation frameworks using Playwright, Java, Selenium, and related technologies.
  • Develop reusable automation components, test data solutions, and automation utilities to improve coverage, reliability, and maintainability.
  • Automate and validate business workflows across UI, API, and database layers.
  • Integrate automated testing into CI/CD pipelines using tools such as Azure DevOps, Jenkins, GitHub Actions, Maven, and related technologies.
  • Support quality engineering initiatives through root-cause analysis, defect investigation, framework improvements, and mentoring of junior team members.
AI-Driven Test Automation
  • Design, implement, and enhance Agentic AI solutions for software testing and quality engineering.
  • Leverage LLMs and AI agents to analyze requirements, generate test scenarios, create automation scripts, and improve test coverage.
  • Build, configure, or support Planner, Generator, Validator, Analyzer, and Healer agent workflows.
  • Implement AI-assisted and self-healing automation capabilities to reduce maintenance effort and improve test resilience.
  • Evaluate emerging AI testing technologies and help drive adoption of next-generation automation practices.
Required Qualifications
  • 5+ years of software quality assurance and test automation experience.
  • 3+ years of hands-on experience developing automation frameworks using Java and Selenium.
  • 2+ years of hands-on experience using Playwright for UI automation.
  • Strong programming skills in Java and working knowledge of TypeScript.
  • Experience with TestNG, JUnit, Maven, Git, SQL, REST APIs, SOAP services, and CI/CD pipelines.
  • Experience designing and maintaining reusable automation frameworks.
  • Strong analytical, troubleshooting, and communication skills.
Agentic AI & Generative AI Requirements
  • Hands-on experience using Generative AI tools to support software testing and automation.
  • Experience leveraging LLMs such as Claude, GPT, Azure OpenAI, Gemini, or equivalent technologies.
  • Experience building, configuring, or using Agentic AI workflows for test automation.
  • Experience with AI-assisted test planning, test scenario generation, automation script generation, test analysis, or self-healing automation.
  • Understanding of Planner, Generator, Validator, Analyzer, and Healer agent concepts.
Preferred Qualifications
  • Experience implementing RAG (Retrieval-Augmented Generation) solutions.
  • Experience with Claude API, Azure OpenAI, GitHub Copilot, Microsoft Copilot.
  • Experience generating Playwright or Selenium test automation from requirements or user stories.
  • Experience with self-healing automation solutions.
  • Property & Casualty Insurance experience.
  • Experience with Appium, Selenium Grid, Docker, Kubernetes, Azure, or AWS.
  • Performance and load testing experience
Success Measures
  • Increase automation coverage while reducing manual effort.
  • Accelerate automation development through AI-assisted testing.
  • Reduce automation maintenance through self-healing capabilities.
  • Improve CI/CD quality gates and feedback cycles.
  • Advance adoption of Agentic AI and Playwright-based automation solutions.

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