GPU Cloud Validation and Performance Engineer

Job Description :

Senior Infrastructure Test & Validation Engineer (Zero-Touch GPU Cloud – GitOps Validation & Certification)

We are seeking a Senior Infrastructure Test & Validation Engineer with 10+ years of experience to lead the Zero-Touch Validation, Upgrade, and Certification automation of our on-prem GPU cloud platform. This role focuses on ensuring the stability, performance, and conformance of the entire stack—from hardware to Kubernetes—using automated, GitOps-based validation pipelines. The ideal candidate has a strong infrastructure background with deep hands-on skills in Sonobuoy , LitmusChaos , k6 , and pytest , and is passionate about automated test orchestration, platform resilience, and continuous conformance.

Key Responsibilities

• Design and implement automated, GitOps-compliant pipelines for validation and certification of the GPU cloud stack across hardware, OS, Kubernetes, and platform layers.
• Integrate Sonobuoy for Kubernetes conformance and certification testing.
• Design and orchestrate chaos engineering workflows using LitmusChaos to validate system resilience across failure scenarios.
• Implement performance testing suites using k6 and system-level benchmarks, integrated into CI / CD pipelines.
• Develop and maintain end-to-end test frameworks using pytest and / or Go , focusing on cluster lifecycle events, upgrade paths, and GPU workloads.
• Ensure test coverage and validation across multiple dimensions : conformance, performance, fault injection, and post-upgrade validation.
• Build and maintain dashboards and reporting for automated test results, including traceability, drift detection, and compliance tracking.
• Collaborate with infrastructure, SRE, and platform teams to embed testing and validation early in the deployment lifecycle.
• Own quality assurance gates for all automation-driven deployments.

Required Skills & Experience