Description

LOCATION: Bangalore

THE ROLE
We are building a cloud-native platform with AI as the baseline. AI is not a feature layer. It defines how systems are designed, how quality signals are structured, and how engineers think before building. AI in the product starts from system design, data modeling, and testability.

QA engineers here are quality builders who own end-to-end validation. You think about automation architecture, scale, reliability, security, and distributed systems before using AI tools. You own quality from design through testing, release, and production operations.

TASKS AND RESPONSIBILITIES
Lead quality strategy for complex cloud services and cross-service workflows
Define automation architecture for services, data flows, API contracts, and AI-driven features across teams
Make key decisions on:
test automation frameworks and maintainability
performance engineering strategy and load models
security testing scope, threat validation, and release gates
Establish and enforce best practices for:
quality metrics and release readiness




CI/CD quality gates and observability
risk-based testing for cloud-native and AI-first systems
Drive reliability, performance, security, and cost-of-quality improvements at scale
Lead quality reviews and mentor senior QA engineers
Own resolution of complex production quality issues involving multiple systems
Influence how AI is validated in product and platform design
Collaborate across teams to align quality architecture and delivery

EXPERIENCE AND QUALIFICATIONS
University degree in computer science, mathematics, IT or relevant skilled experience with qualified technical training
10 to 14 years of relevant QA, automation, or cloud platform quality experience
Expert fundamentals in distributed systems, cloud-native architecture, test automation, performance engineering, and security testing
Experience defining quality metrics, release gates, observability, and production qu

📌 Principal Quality Assurance Engineer Bengaluru
🏢 IGEL
📍 Bengaluru