Sr. SDET - Remote

Key Responsibilities

• 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.

What You’ll Bring

• 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.

Technology Stack

• Frontend: React, GraphQL, Apollo
• Backend: Node.js, TypeScript, Microservices
• Database: Postgres, Redis, DynamoDB
• Cloud: AWS, Kubernetes, Lambda
• Testing: Playwright, Jest, Custom MCP tools
• CI/CD: GitHub Actions, CircleCI, Jenkins, ArgoCD
• AI & Automation: AI agents for QA, AI-assisted test generation, model validation frameworks, prompt-based testing utilities

Nice to Haves

• Experience developing or testing AI agents (autonomous or semi-autonomous assistants).
• Knowledge of LangChain, LlamaIndex, or other orchestration frameworks for testing LLM applications.
• Experience with AI model testing (data drift, regression analysis, hallucination detection).
• Familiarity with model observability and quality metrics for LLM-based products.
• Exposure to mobile testing (React Native, Appium, Maestro).
• Experience leading QA or automation teams or owning large-scale test infrastructure.