GPU Cloud Infrastructure Engineer

3 days ago

Kanpur, Uttar Pradesh, India beBeeInfrastructure Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

About us, our mission is to deliver cutting-edge digital engineering and technology services to global clients. Our approach enables us to execute innovative ideas and solve complex business challenges through empowered agile teams.

We combine logic, creativity, and curiosity to build, solve, and create every day. We help clients engage with new technology paradigms, building solutions that address their most pressing business challenges and position them at the forefront of their industry.

Our ideal candidate has a strong background in infrastructure engineering, systems validation, or SRE roles, with hands-on experience in tools like pytest, Go, k6 scripting, automation frameworks integration, CI/CD systems, and proficient scripting skills.

The role requires designing and implementing automated pipelines for validation and certification of the GPU cloud stack across hardware, OS, Kubernetes, and platform layers. This includes integrating Sonobuoy for Kubernetes conformance and certification testing, designing and orchestrating chaos engineering workflows using LitmusChaos, and implementing performance testing suites using k6 and system-level benchmarks.

  • Design and implement automated, GitOps-compliant pipelines for validation and certification of the GPU cloud stack.
  • Integrate Sonobuoy for Kubernetes conformance and certification testing.
  • Design and orchestrate chaos engineering workflows using LitmusChaos.
  • Implement performance testing suites using k6 and system-level benchmarks.
  • Develop and maintain end-to-end test frameworks using pytest and/or Go.

Collaboration with infrastructure, SRE, and platform teams is key to embedding testing and validation early in the deployment lifecycle.

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