Validation and performance Automation

2 weeks ago

Bengaluru, Karnataka, India People Prime Worldwide Full time

About Company: They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

Job Title: Validation and Performance Automation

Location: Pan India

Work Mode: Hybrid

Experience: 8+ years (6 years Relevant)

Job Type: Contract to hire (C2H)

Notice Period: - Immediate joiners.

Mandatory Skills: · pytest, Go, k6 scripting, automation frameworks integration (Sonobuoy, LitmusChaos), CI integration

Additional Skills:

· 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:

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

· 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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