Software Development Engineer in Test

We are looking for a highly skilled Software Development Engineer in Test (SDET) with strong expertise in test automation, Playwright, TypeScript/JavaScript, and AI. The ideal candidate should have a strong software engineering mindset and experience building scalable automation frameworks, integrating AI/LLMs into testing workflows, and driving quality across modern web applications and APIs. AI experience is mandatory for this role.

Responsibilities:

• Design, develop, and maintain scalable UI and API automation frameworks using Playwright with TypeScript/JavaScript.
• Build robust end-to-end test automation covering functional, regression, integration, and cross-browser testing.
• Develop reusable automation libraries, utilities, fixtures, and test frameworks.
• Integrate automated testing into CI/CD pipelines and ensure reliable execution at scale.
• Identify opportunities to leverage AI/LLMs in software testing and QA automation.
• Build or integrate AI-powered solutions for areas such as: Test case generation, Test script generation, Test-data generation, Self-healing automation, Failure analysis and debugging, Intelligent test prioritisation, Automated test-result analysis.
• Work with developers, product managers, and engineering teams to define test strategies and improve product quality.
• Perform API testing and validate backend services and integrations.
• Analyse automation failures, identify root causes, and improve framework stability.
• Contribute to quality engineering best practices, coding standards, and automation architecture.
• Mentor junior QA/SDET engineers and contribute to automation strategy where required.

Requirements:

• Strong hands-on experience with Playwright.
• Strong TypeScript and/or JavaScript development experience.
• Strong experience in UI automation and API automation.
• Experience designing and developing automation frameworks from scratch.
• Hands-on AI/GenAI/LLM experience.
• Understanding of integrating LLMs/AI tools into testing or engineering workflows.
• Experience with Git and CI/CD.
• Strong programming and debugging skills.
• Good understanding of software testing methodologies and QA processes.

AI Skills - Mandatory:

Candidates must have practical exposure to AI/GenAI, such as:

• LLMs - OpenAI, Claude, Gemini, Llama, etc.
• AI-assisted test generation
• LLM-based automation
• AI-powered test analysis/debugging
• Agentic AI for testing
• AI-based test data generation
• RAG/LLM applications for QA
• AI coding/testing tools such as GitHub Copilot, Cursor, Claude Code, or similar
• Candidates with only theoretical knowledge of AI should not be considered.

Good to Have:

• Experience with Python.
• Selenium/Cypress experience.
• API automation using REST/GraphQL.
• Experience with Docker/Kubernetes.
• AWS/GCP/Azure exposure.
• Experience with performance testing.
• Experience with mobile automation.
• Experience building AI agents or AI-powered developer tools.