Senior Python Automation Test Engineer with AI

Senior Python Automation Test Engineer

Responsibilities

• Design, develop, enhance and maintain scalable test automation frameworks using Python
• Build robust automation solutions using PyTest, Behave, Robot Framework, Selenium and Playwright
• Lead framework architecture decisions focused on scalability, maintainability and reusability
• Implement parallel execution strategies and optimize execution times across browsers and platforms
• Establish API automation solutions for REST and SOAP services
• Validate XML and JSON payloads through serialization and deserialization techniques
• Conduct code reviews and enforce clean coding standards
• Integrate automation suites with CI/CD pipelines using Jenkins and GitHub Actions
• Define test strategies, automation roadmaps and quality metrics
• Collaborate with QA, Development, Product and Business teams
• Mentor team members on Python, automation frameworks, design patterns and quality engineering practices
• Apply AI-driven solutions for automated test case generation, test script generation and code reviews

Requirements

• 5-9 years of experience in test automation engineering
• Proficiency in Python including Object-Oriented Programming principles, decorators and exception handling
• Expertise in PyTest, Behave and Robot Framework combined with Selenium and Playwright
• Skills in API testing including authentication mechanisms such as Basic Authentication, Bearer Tokens and OAuth
• Knowledge of software design patterns including Singleton, Factory and Page Object Model
• Familiarity with CI/CD tools such as Jenkins and GitHub Actions including static code analysis and quality gates
• Understanding of Test Pyramid principles, Definition of Ready and Definition of Done
• Hands-on experience with LLMs such as GitHub Copilot, Claude and Cursor
• Understanding of Prompt Engineering, Context Window Management and Tokenization
• Skills in generating and utilizing embeddings for semantic search applications including similarity search and retrieval mechanisms
• Background in designing AI-driven solutions using tools such as Claude, GitHub Copilot and Cursor
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering or related field

Nice to have

• Knowledge of RAG architectures and experience integrating LLMs with enterprise knowledge sources
• Understanding of Model Context Protocol concepts and ability to orchestrate agent interactions and task delegation
• Understanding of Attention Mechanisms and Transformer-based model architectures
• Capability to build multi-agent workflows for end-to-end testing, automated reporting and failure recovery