Overview
Design, develop and evolve modern test automation solutions using Playwright, TypeScript, API automation and CI/CD, while applying Agentic AI and LLM-based approaches to modernize quality engineering practices.
What you'll do
- Design, develop and maintain scalable UI and API automation frameworks using Playwright and TypeScript.
- Develop robust automated tests covering functional, regression, integration, API and end-to-end scenarios.
- Define and implement automation architecture, coding standards, reusable components and testing patterns.
- Partner with developers and product teams to establish testability, acceptance criteria and automation strategy early in the development lifecycle.
- Integrate automated tests into CI/CD pipelines and enable reliable, repeatable execution.
- Analyze automation failures, identify root causes, and improve test reliability and maintainability.
- Reduce flaky tests through effective synchronization, resilient locators, test isolation, test data management and failure diagnostics.
- Develop reusable automation utilities, libraries, skills and tools that can be leveraged across teams and applications.
- Apply Agentic AI and LLM capabilities to areas such as automated test generation, test case optimization and coverage analysis, AI-assisted test maintenance, self-healing automation, failure analysis and root-cause identification, test data generation, requirements-to-test traceability, intelligent regression selection, and LLM/AI application testing and evaluation.
- Explore and implement AI agents, MCP-based integrations and AI-assisted QE workflows where they provide measurable value.
- Develop or contribute to evaluation strategies for AI-powered applications, including LLM response validation, hallucination detection, prompt evaluation, rubrics, golden datasets and quality metrics.
- Participate in architecture and code reviews and provide technical guidance on automation best practices.
- Troubleshoot complex automation, environment, test-data and integration issues.
- Contribute to performance, reliability and scalability testing as needed.
- Monitor automation effectiveness using metrics such as coverage, execution time, stability, defect detection and maintenance effort.
- Mentor other engineers and promote modern automation and quality engineering practices.
- Continuously evaluate emerging testing technologies and AI capabilities and identify opportunities to improve QE productivity and quality.
What you'll need
- Bachelor's degree in computer science, engineering or a related technical field, or equivalent experience.
- 5+ years of software test automation or quality engineering experience, with strong hands-on engineering experience.
- Strong hands-on experience with Playwright.
- Strong programming experience with TypeScript and/or JavaScript.
- Strong understanding of UI, API, integration and end-to-end automation.
- Experience designing or contributing to test automation frameworks and architecture.
- Strong understanding of software development practices, Git, code reviews, debugging and CI/CD.
- Experience integrating automated testing into CI/CD pipelines such as GitHub Actions, Jenkins, Azure DevOps or GitLab.
- Experience with API testing and tools/frameworks such as REST, Postman, Playwright API or equivalent.
- Strong understanding of test design techniques, test strategy, test coverage and risk-based testing.
- Demonstrated ability to troubleshoot complex automation failures and identify root causes.
- Experience working in Agile/Scrum software development environments.
- Strong communication and collaboration skills.
- Experience with generative AI / LLM application testing, or AI-assisted software development or test automation.
- Experience with AI agents / Agentic AI workflows, or MCP or similar agent-to-tool integration frameworks.
- Experience with AI-generated test cases or test scripts, LLM evaluation and testing, or prompt engineering and prompt evaluation.
- Experience with RAG testing and evaluation, hallucination and factuality testing, golden datasets and evaluation datasets, or rubric-based evaluation.
- Experience with AI-powered test maintenance or self-healing automation, or AI-based failure analysis or test-result summarization.
- Experience using tools such as GitHub Copilot, Claude, ChatGPT or other AI coding/testing assistants.
- Experience with Playwright using TypeScript at enterprise scale.
- Experience migrating automation from Selenium to Playwright.
- Experience with BDD/Gherkin and translating requirements or acceptance criteria into automated tests.
- Experience with API automation and contract testing.
- Experience with performance/load testing tools such as JMeter, k6 or equivalent.
- Experience with Docker, Kubernetes or cloud-based test environments.
- Experience with AWS, Azure or other cloud platforms.
- Experience with test management and defect tools such as Jira, Azure DevOps, qTest or equivalent.
- Experience building reusable internal automation libraries, tools, AI agents or developer/QE skills.
- Experience with RAG, embeddings, vector databases or LLM application architectures.
- Experience establishing quality metrics and automation effectiveness measures.
Nice to have
- Experience with Playwright using TypeScript at enterprise scale.
- Experience migrating automation from Selenium to Playwright.
- Experience with BDD/Gherkin and translating requirements or acceptance criteria into automated tests.
- Experience with API automation and contract testing.
- Experience with performance/load testing tools such as JMeter, k6 or equivalent.
- Experience with Docker, Kubernetes or cloud-based test environments.
- Experience with AWS, Azure or other cloud platforms.
- Experience with test management and defect tools such as Jira, Azure DevOps, qTest or equivalent.
- Experience building reusable internal automation libraries, tools, AI agents or developer/QE skills.
- Experience with RAG, embeddings, vector databases or LLM application architectures.
- Experience establishing quality metrics and automation effectiveness measures.
Details
- Location: Pune, India.
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
- Interviews must be taken without AI tools or external prompts, and virtual backgrounds must be removed.
Read the full description and apply on the company’s own careers page.