Cloud Infrastructure Validation Engineer

17 hours ago

Nagpur, Maharashtra, India beBeeResilience Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Job Description:

We are seeking a seasoned Cloud Infrastructure Automation Specialist to lead the 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.
Required Skills & Experience:
  • 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), CI integration.
  • 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
Benefits:
  • 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.

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