Senior Infrastructure Test & Validation Engineer

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 – 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

o Sonobuoy for Kubernetes conformance and diagnostics

o LitmusChaos 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