Senior Engineer, Quality Engineering

About the Role

We are seeking a highly skilled 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 Youll 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) 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.

Nice to Have

• 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

Tech Stack & Tools

• Test Automation: Selenium, Playwright, Cypress, RestAssured, JUnit/TestNG, Postman
• 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
• 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

What You Bring

• 8+ 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
• Deep experience in API and UI test automation using modern open-source tools
• Passion for AI-powered innovation and proactive bug prevention
• Strong analytical, documentation, and communication skills

Why Join Us?

• Work on next-gen AI-integrated quality engineering platforms
• Be part of a culture of innovation, continuous learning, and engineering excellence
• Drive impact in mission-critical enterprise systems
• Stay ahead of the curve in future-ready, AI-powered QA engineering