Job Description

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 service

📌 Qa Lead Mumbai
🏢 Neysa Networks
📍 Mumbai