Cloud Infrastructure Validator

2 days ago

Agra, Uttar Pradesh, India beBeeCertification Full time ₹ 25,00,000 - ₹ 35,00,000
Senior Infrastructure Validation Engineer

We are seeking a highly skilled Senior Infrastructure Validation Engineer to lead the development and implementation of automated validation pipelines for 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 workflows.

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.

  • 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.
Key ResponsibilitiesTechnical Skills:

The following technical skills are required for this position:

  • 10+ years of hands-on experience in infrastructure engineering, systems validation, or SRE roles.
  • Primary key skills required are pytest, Go, k6 scripting, automation frameworks integration (Sonobuoy, LitmusChaos).
  • Strong experience with:
    • Sonobuoy for Kubernetes conformance and diagnostics
    • LitmusChaos for fault injection and resilience validation
    • k6 for performance/load testing in distributed environments
    • pytest or Go-based test frameworks for automation and validation scripting
  • Deep understanding of Kubernetes architecture, upgrade patterns, and operational risks.
  • Experience validating infrastructure components (GPU drivers, kernel modules, CNI, CRI, etc.) across lifecycle events.
Collaboration and Communication:

This role requires collaboration with infrastructure, SRE, and platform teams to embed testing and validation early in the deployment lifecycle.

Quality Assurance:

The successful candidate will own quality assurance gates for all automation-driven deployments.

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