Validation & Performance Automation Eng

Senior Infrastructure Test & Validation Engineer (Zero-Touch GPU Cloud – GitOps Validation & Certification)

Senior Infrastructure Test & Validation Engineer

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.
• 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.

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
• Deep understanding of Kubernetes architecture, upgrade patterns, and operational risks.
• Experience validating infrastructure components (GPU drivers, kernel modules, CNI, CRI, etc.) across lifecycle events.
• Proficient in GitOps workflows and integrating tests into declarative, Git-backed pipelines (e.g., with Argo CD, Flux).
• Hands-on experience with CI/CD systems (e.g., GitHub Actions, GitLab CI, Jenkins) to automate test orchestration.
• Solid scripting and automation experience (Python, Bash, or Go).
• Familiarity with GPU-based infrastructure and its performance characteristics is a strong plus.
• Strong debugging, root cause analysis, and incident investigation skills.