Cloud Platform Automation Engineer

3 days ago

Amrāvati, Maharashtra, India beBeeInfrastruture Full time ₹ 1,50,00,000 - ₹ 2,25,00,000

About People Prime Worldwide: We provide digital engineering and technology services to leading 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.

Key Responsibilities

  • Design and implement automated pipelines for validation and certification of the entire stack from hardware to Kubernetes using GitOps-based validation workflows.
  • 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 infrastructure workloads.

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.

This role focuses on ensuring the stability, performance, and conformance of our GPU cloud platform. 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.

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