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Senior Software Development Engineer in Test – SDET
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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