Highly Skilled Infrastructure Engineer

3 days ago


Bareilly, Uttar Pradesh, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,02,50,000

We are looking for a highly skilled Senior Infrastructure Engineer to join our team. This is an exciting opportunity to lead the Zero-Touch Validation, Upgrade, and Certification automation of our on-prem GPU cloud platform.

The ideal candidate will have 10+ years of experience in infrastructure engineering, systems validation, or SRE roles, with strong hands-on skills in Sonobuoy, LitmusChaos, k6, and pytest.

Job Description

This role focuses on ensuring the stability, performance, and conformance of the entire stack—from hardware to Kubernetes—using automated, GitOps-based validation pipelines.

  • 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.

We are seeking a Senior Infrastructure Test & Validation Engineer who can ensure test coverage and validation across multiple dimensions: conformance, performance, fault injection, and post-upgrade validation.

Required Skills & Qualifications

The ideal candidate should have:

  • 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.
  • A deep understanding of Kubernetes architecture, upgrade patterns, and operational risks.
  • Experience validating infrastructure components (GPU drivers, kernel modules, CNI, CRI, etc.) across lifecycle events.
  • Familiarity with GPU-based infrastructure and its performance characteristics is a strong plus.

Candidates with solid scripting and automation experience (Python, Bash, or Go) and proficient in GitOps workflows and integrating tests into declarative, Git-backed pipelines will be preferred.

What We Offer

In this role, you will have the opportunity to build and maintain dashboards and reporting for automated test results, collaborate with infrastructure, SRE, and platform teams to embed testing and validation early in the deployment lifecycle, and own quality assurance gates for all automation-driven deployments.

We value a culture that is passionate about automated test orchestration, platform resilience, and continuous conformance.



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