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

TASKS AND RESPONSIBILITIES
Design and deliver automation for cloud services and cross-service workflows
Define test plans for services, APIs, data flows, and AI-assisted product behavior
Build and maintain scalable automated tests across API, integration, UI, and system layers
Contribute to performance engineering through load, stress, soak, and capacity testing
Execute security testing for authentication, authorization, data protection, and dependency risk




Establish and improve quality metrics, dashboards, and release readiness signals
Integrate tests into CI/CD and enforce actionable quality gates
Analyze production defects and improve regression coverage
Lead test reviews and mentor QA engineers
Collaborate with development, SRE, product, and support to align quality and delivery

EXPERIENCE AND QUALIFICATIONS
University degree in computer science, mathematics, IT or relevant qualified experience with qualified technical training
7 to 10 years of relevant QA, automation, or cloud software quality experience
Solid fundamentals in cloud-native systems, APIs, distributed workflows, and test automation
Experience with performance engineering, security testing, CI/CD, and observability-driven quality
Ability to define quality metrics and use AI tools effectively while applying engineering judgment
Working under limited supervision
Takes ownership of complex

📌 Senior Quality Assurance Engineer Bengaluru
🏢 IGEL
📍 Bengaluru