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Senior Software Development Engineer in Test – SDET

SDETSDETFull TimeRemoteTeam 201-500Since 2016H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

117 days ago

Salary

$120K - $150K / year

Bachelor Degree7 yrs expEnglishApolloAWSCloudCypressGraph QLJava ScriptJenkinsKubernetesReactSDLCSeleniumType Script

Job Description

• Architect and evolve end-to-end automated testing frameworks, with Playwright as the core automation technology. • Lead the integration of AI-enabled testing methodologies into the SDLC, including predictive test selection, LLM-based test case generation, and self-healing automation. • Design, build, and maintain custom MCP (Model Context Protocol) servers and tools that enhance Playwright’s context-awareness and adaptability. • Develop test strategies for AI agents and AI-integrated product features, ensuring accuracy, reliability, and safety. • Partner with AI/ML engineers to define validation frameworks for AI model performance, prompt correctness, and deterministic output behavior. • Mentor SDETs and QA engineers on advanced automation, AI-assisted testing, and test strategy best practices. • Define quality metrics and feedback loops for intelligent CI/CD pipelines, enabling faster, safer releases. • Collaborate cross-functionally with Product, DevOps, and Architecture to embed testing standards and ensure high quality across all delivery stages. • Stay ahead of emerging AI testing frameworks and champion innovative approaches to improve testing scalability and precision.

Job Requirements

  • 7+ years of experience in software testing, test automation, or software engineering, including 2+ years in a technical leadership capacity.
  • Proven expertise in Playwright (or similar tools like Cypress, Selenium, or WebDriverIO) and TypeScript/JavaScript programming.
  • Demonstrated success integrating AI systems or tools into QA workflows, including prompt engineering, test generation, or defect analysis using AI models.
  • Hands-on experience testing AI-driven solutions, LLM-based systems, or AI agents.
  • Experience designing and maintaining test automation frameworks for scalability, reliability, and observability.
  • Deep understanding of CI/CD pipelines (GitHub Actions, Jenkins, GitLab, CircleCI) and cloud-native environments (AWS, Kubernetes).
  • Familiarity with GraphQL, Apollo, React, and microservice-based architectures.
  • Strong mentorship, communication, and collaboration skills.
  • Passion for innovation, particularly in AI, automation, and developer productivity.

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