Role
Quality Assurance Lead
Experience
8-12 Years
Educational Qualification
B.E / B. Tech, M.E/ M. Tech
Location
Bangalore
Technical Competencies
Playwright/Cypress, AI/ML Testing, Cloud, SQL, Agile/Scrum
Job Description:
Job Summary:
We are seeking a highly experienced Senior QA Engineer with 8–12 years of expertise in architecting and executing comprehensive quality assurance strategies for complex cloud-native, data-driven, and AI-powered applications. The candidate will be responsible for ensuring the reliability, accuracy, and performance of large-scale systems that integrate real-time data processing and intelligent model insights.
The ideal candidate must possess an understanding of cloud infrastructure, data integrity validation, and also the challenges of testing AI/ML models. Should be an expert in designing automated frameworks using modern tools like Playwright or Cypress to validate high-bandwidth data flows and complex web/mobile interfaces.
Key Responsibilities :
Design and lead a comprehensive QA roadmap that covers data pipelines, AI model integration, and cloud-native backend services.
AI & Model Validation: Establish testing protocols to validate AI/ML model outputs, focusing on accuracy, performance benchmarking, and bias detection.
Build and maintain scalable, “Shift-Left” automation frameworks using Playwright or Cypress to accelerate the CI/CD pipeline and ensure UI/UX consistency across platforms.
Ensure the reliability of high-volume data flows by validating ingestion, processing, and storage across cloud-based data warehouses and real-time streams.
Architect and execute load and stress testing to ensure the platform handles high concurrency and data-intensive workloads without degradation.
Implement security testing standards to protect sensitive data and ensure all cloud communications meet industry encryption and authorization protocols.
Root Cause Analysis: Utilize cloud monitoring and logging tools (such as Azure Monitor or Log Analytics) to identify and resolve complex system bottlenecks.
Cross-Functional Collaboration: Partner with Data Scientists, Developers, and Product teams to define quality gates and ensure features are built for maximum testability.
Define best practices for testing methodologies and mentor junior QA engineers in modern automation and data testing patterns.
Required Qualifications :
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
8–12 years of professional experience in software quality assurance, focusing on cloud and data-driven systems.
Drive the technical roadmap for quality by implementing testing layers (Unit, Integration, and System) that ensure the entire ecosystem remains modular and scalable
Strong hands-on experience with modern E2E testing frameworks such as Playwright or Cypress, and the ability to integrate them into automated CI/CD workflows.
Understanding of testing AI-powered systems, including knowledge of model drift, evaluation metrics (precision/recall), and non-deterministic testing.
Hands-on experience with Microsoft Azure services to begin with and knowledge of other cloud providers (AWS/GCP) is a significant plus.
Strong proficiency in JavaScript/TypeScript (essential for Playwright/Cypress), Python, or Java for developing custom automation tools.
Expert knowledge of SQL and NoSQL databases, with the ability to write complex queries to validate data integrity across distributed systems.
Proven ability to oversee the full Software Development Lifecycle, from initial requirement analysis to production release and post-launch monitoring.
Good To Have :
Familiarity with Generative AI (GenAI) testing and LLM evaluation techniques.
Microsoft Certified: Azure AI Engineer Associate or Azure Data Engineer Associate.
Experience with performance testing tools like JMeter, Gatling, or Locust.
Job Features
Job Category
Digital Technologies
