Senior Test Automation Engineer

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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.