Validation & Performance Automation Eng

4 weeks ago

Mysuru, India LTIMindtree Full time

Job Description:Senior Infrastructure Test & Validation Engineer (Zero-Touch GPU Cloud – GitOps Validation & Certification)We are seeking a Senior Infrastructure Test & Validation Engineer with 10+ years of experience to lead the Zero-Touch 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. - 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.

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