About the Role
Neysa is building Velocis — an AI Infrastructure and PaaS platform that powers inference, orchestration, and multi-tenant GPU workloads at scale. This is not a conventional software QA role.
The QA Lead will own the end-to-end quality strategy for Velocis — a distributed, Kubernetes-native platform spanning IaaS provisioning, AI-PaaS services, multi-tenant control planes, and real-time inference APIs. This is a hands-on leadership role: you will set the quality bar, build the team, define the toolchain, and be accountable for what ships.
Key Responsibilities
Quality Strategy & Engineering Leadership
Define and execute Neysa's Quality Engineering strategy across the Velocis platform
Establish QA processes, standards, and release governance across engineering teams
Build and mentor a high-performing QA organization; establish the hiring bar and career ladder
Drive a quality-first culture across Engineering, Product, and Platform Operations
Partner with Engineering Managers, Product, and SRE on release readiness and go/no-go decisions
Test Planning & Execution




Own end-to-end test strategy for all Velocis platform releases
Review PRDs, technical designs, and architecture documents for testability — early, not late
Define test coverage across: Functional, Integration, Regression, Performance, Load, Security, API, and End-to-End testing
Apply risk-based testing to prioritize coverage on high-blast-radius surfaces
Automation Excellence
Define automation roadmap, framework architecture, and coverage targets
Build scalable automation frameworks integrated into CI/CD pipelines
Drive regression automation coverage to measurable targets — own the metric, not just the plan
Instrument automation effectiveness: flakiness rate, coverage delta per release, mean time to detect
Platform & Infrastructure Testing
Lead quality across Velocis-specific surfaces:
Kubernetes-based PaaS and control plane workflows
AI/ML inference services (LLM APIs, model serving endpoints, non

📌 QA Lead (Mumbai)
🏢 Neysa
📍 Mumbai