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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!
Skills Required
- 3-6 years of relevant experience
- Strong understanding of STLC, SDLC, Agile and Scrum methodologies
- Hands-on experience designing test scenarios, test cases, and executing tests
- Expertise in UI automation using Playwright
- Experience building and maintaining scalable, reusable automation frameworks
- API automation experience using REST Assured (Java) or Python Requests
- Hands-on experience with Postman for API testing and validation
- Strong SQL skills and experience in database/backend data validation
- Experience integrating automation with CI/CD pipelines (Jenkins, GitHub Actions, etc.)
- Proficiency with Git and version control best practices
- Experience using GenAI tools (ChatGPT, GitHub Copilot, Kiro, etc.) to accelerate testing
- Strong debugging, root cause analysis, and problem-solving skills
- Ability to independently own end-to-end testing activities with minimal supervision
- Excellent communication, collaboration, and stakeholder management skills
- Ability to mentor junior team members and promote automation-first practices
- Knowledge of AWS services (EC2, Lambda, API Gateway, S3, RDS, DynamoDB, CloudWatch, ECS/EKS, IAM)
- Experience testing cloud-native applications deployed on AWS
- Experience in Data Warehouse, ETL, or Data Pipeline testing
- Understanding of AI/ML and Generative AI application testing (LLMs, chatbots, RAG)
- 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
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
