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17 hours ago
- 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.
- 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.
- 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
This is an excellent opportunity to join a team that values innovation, collaboration, and continuous learning.
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
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