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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!
