Strategic Cloud Engineer

21 hours ago

Jaipur, Rajasthan, India beBeeEngineer Full time ₹ 25,37,556 - ₹ 30,76,151
Cloud Native Engineer

We're seeking a skilled and passionate Cloud Native Engineer to join our team. As a key member of our infrastructure team, you'll be instrumental in developing and maintaining cutting-edge build and test environments for critical GenAI workloads running on foundational cloud infrastructure.

You'll partner with architects to design and implement highly robust and scalable systems, while also providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale. We're looking for an engineer who champions Cloud-Native development, with a particular emphasis on Kubernetes.

  • Implement state-of-the-art GPU compute clusters to support critical workloads.
  • Develop comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
  • Design robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Experience in developing comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Build a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
  • Troubleshoot, diagnose, and perform root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners.
  • Optimize cluster operations for maximum reliability, efficiency, and performance.

Our ideal candidate will have over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes. A proven history of engaging with and contributing to open-source projects is essential. Additionally, they should possess a collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.

The successful candidate will also have the ability to effectively communicate complex technical designs and decisions with internal teams, an understanding of GPU computing and AI infrastructure, and a strong passion for solving complex technical challenges and optimizing system performance.

Practical experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework, would be beneficial. So too would significant experience across major cloud platforms: Azure Cloud, Google Cloud Platform (GCP), or Amazon Web Services (AWS). A strong track record of successfully refactoring and optimizing software for deployment within Kubernetes environments, as well as an understanding of the CNCF landscape and its associated tooling, would make a candidate highly competitive.

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