Senior infrastructure test

About Company: Our Client Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry. Job Title : Senior Infrastructure Test & Validation Engineer Key Skills : pytest, Go, k6 scripting, automation frameworks integration Job Locations : Bangalore Experience : 8-15 years Education Qualification : Any Degree Graduation Work Mode : Hybird Employment Type : Contract Role Notice Period : Immediate - 10 Days Job Description: Senior Infrastructure Test & Validation Engineer (Zero-Touch GPU Cloud – Git Ops 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, Git Ops-based validation pipelines. The ideal candidate has a strong infrastructure background with deep hands-on skills in Sonobuoy, Litmus Chaos, k6, and pytest, and is passionate about automated test orchestration, platform resilience, and continuous conformance. Key Responsibilities · Design and implement automated, Git Ops-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 Litmus Chaos 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, Litmus Chaos), CI integration · Strong experience with: o Sonobuoy for Kubernetes conformance and diagnostics o Litmus Chaos for fault injection and resilience validation o k6 for performance/load testing in distributed environments o 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 Git Ops workflows and integrating tests into declarative, Git-backed pipelines (e.g., with Argo CD, Flux). · Hands-on experience with CI/CD systems (e.g., Git Hub Actions, Git Lab 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.