Senior Test Automation Engineer

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! **Role:** Senior Test Automation Engineer **Experience:** 3-6 years **Location:** Mumbai/Bangalore (Hybrid) **Brief About Role:** We are looking for a Senior Test Automation Engineer to join our Quality Engineering (TaaS) team. The ideal candidate should possess strong expertise in modern Quality Engineering practices, UI and API automation, CI/CD integration, and automation framework development. The role requires an engineer who can independently own end-to-end testing activities for enterprise applications while contributing to reusable automation frameworks and AI-powered testing accelerators. The candidate should be passionate about quality, automation, continuous improvement, and leveraging GenAI to improve testing productivity. **Key Responsibilities:** - Design, develop, and maintain robust UI and API automation test suites using modern automation frameworks. - Independently own end-to-end testing activities including test planning, test design, automation development, execution, defect management, and reporting. - Develop and maintain reusable automation components, libraries, and utilities to improve productivity. - Automate functional, integration, regression, and end-to-end business workflows. - Build and execute API automation using REST Assured (Java), Requests (Python) or Postman framework. - Develop UI automation using Playwright following framework standards and best practices. - Validate backend data using SQL and perform database verification as part of automated test execution. - Integrate automated test suites into CI/CD pipelines (Jenkins, GitHub Actions, etc.) and implement quality gates. - Participate in code reviews and ensure adherence to automation coding standards and framework guidelines. - Leverage GenAI tools (e.g., ChatGPT, GitHub Copilot, Kiro etc.) to accelerate test case creation, automation development, debugging, and documentation. - Collaborate with developers, business analysts, product owners, and DevOps teams throughout the software development lifecycle. - Participate in sprint planning, requirement analysis, and test strategy discussions. - Analyze automation failures, identify root causes, and implement long-term fixes. - Contribute to the development of reusable TaaS accelerators, automation frameworks, and best practices. - Mentor junior engineers and promote automation-first quality engineering practices. **Must have skills:** - Strong understanding of Software Testing Life Cycle (STLC), SDLC, Agile and Scrum methodologies. - Hands-on experience in designing test scenarios, test cases, and test execution. - Strong expertise in UI automation using Playwright. - Experience building and maintaining scalable, reusable automation frameworks. - Strong experience in API automation using REST Assured (Java) or Python Requests. - Hands-on experience with Postman for API testing and validation. - Strong SQL skills with hands-on experience in database testing and backend data validation. - Experience integrating automation suites with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or similar. - Proficiency with Git and version control best practices. - Experience using GenAI tools such as ChatGPT, GitHub Copilot, Kiro, or similar to accelerate test design, automation development, debugging, test data generation, and documentation. - Strong debugging, root cause analysis, and problem-solving skills. - Ability to independently own end-to-end testing activities with minimal supervision. - Excellent analytical, communication, collaboration, and stakeholder management skills. - Ability to mentor junior team members and promote automation and quality engineering best practices. - Strong attention to detail with a quality-first and automation-first mindset. **Nice to have skills:** - Knowledge of AWS services such as EC2, Lambda, API Gateway, S3, RDS, DynamoDB, CloudWatch, ECS/EKS, and IAM. - Experience testing cloud-native applications deployed on AWS. - Experience in Data Warehouse, ETL, or Data Pipeline testing. - Knowledge of source-to-target data validation, data reconciliation, and data quality testing. - Understanding of AI/ML and Generative AI application testing, including LLMs, chatbots, and RAG-based applications. - Experience with performance testing tools such as JMeter or k6. - Exposure to Docker, Kubernetes, and containerized application testing. - Relevant certifications in Playwright, AWS, Quality Engineering, or Agile are an added advantage. *If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!*