Sr. Frontend QA
5 days ago
Location: Gurgaon, India
Experience: 8-12 Years
Employment Type: Full-Time
About the RoleWe are seeking a highly skilled Senior Quality Engineer who thrives on building intelligent, resilient, and scalable quality engineering frameworks for modern enterprise applications. This is a hands-on role for a QA leader well-versed in test automation, cloud-native tooling, and GenAI-augmented testing practices. You will play a pivotal role in evolving the engineering quality culture by integrating LLMs, autonomous testing agents, and AI-enhanced tooling into everyday testing workflows.
What You'll Do- Design, develop, and maintain robust test automation frameworks across API, UI, performance, and integration layers.
- Integrate automated tests seamlessly into CI/CD pipelines using GitHub Actions, Jenkins, or equivalent.
- Leverage IaC tools (Terraform, CloudFormation) for test environment provisioning and configuration.
- Use AI-driven test generation tools (e.g., Testim, Mabl, Copilot for QA, GPT-4, Diffblue, Mabl, Functionize, AutonomIQ) to auto-generate test cases from user stories or acceptance criteria.
- Implement autonomous testing agents for exploratory testing and uncovering edge-case failures.
- Build and maintain self-healing test automation that dynamically adapts to UI/API changes.
- Enable shift-left testing through early static/dynamic code analysis and secure coding checks.
- Use synthetic data generation and LLMs to model complex user scenarios and simulate edge conditions.
- Participate in testing AI/ML models for reproducibility, fairness, and robustness against drift/adversarial inputs.
- Apply SAST and SCA tools for early vulnerability detection and secure software practices.
- Use observability platforms (e.g., Datadog, Prometheus, Splunk) to derive QA insights in production-like environments.
- Mentor QA engineers, drive quality best practices, and contribute to a culture of innovation.
- Experience with LLM orchestration (LangChain, LlamaIndex) for intelligent QA workflows
- Knowledge of federated data systems and data contract-driven testing
- Certifications in cloud security, testing, or AI/ML
- Participation in Vibe Coding, hackathons, or internal innovation sprints
- Test Automation: Selenium, Playwright, Cypress, RestAssured, JUnit/TestNG, Postman, Protractor, WebDriverIO, Cucumber /BDD, Axios
- AI/GenAI Tooling: GitHub Copilot, Claude, Testim, Mabl, Amazon CodeWhisperer, LLM APIs (OpenAI, Azure OpenAI, Hugging Face)
- CI/CD & DevOps: GitHub Actions, Jenkins, Terraform, CloudFormation, Docker, Kubernetes
- Cloud Platforms: AWS / Azure / GCP
- Monitoring & Observability: Datadog, Splunk, Prometheus, distributed tracing
- Security & Compliance: GitHub Advanced Security, SAST/SCA tools
- Languages & Scripting: Python, Java, JavaScript, PowerShell, Bash
- 8-12 years of experience in test automation and QA engineering in enterprise SaaS or fintech environments
- Strong expertise in designing scalable test frameworks for cloud-native applications
- Proficient in AI-enhanced testing and integration of GenAI tools into QA workflows
- Understanding of DevSecOps, CI/CD pipelines, and security-first quality engineering
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