
Cloud Infrastructure Specialist
1 day ago
This position involves designing and implementing large-scale production environments for GenAI and ML platforms.
Key Responsibilities:- Create 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 commerce flows.
- Design robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
- Develop comprehensive monitoring solutions with alerting systems to track platform health and ensure Service Level Agreement (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.
- More than 3 years of hands-on experience in building and deploying production-ready services on Kubernetes.
- A proven history of engaging with and contributing to open-source projects.
- A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
- The ability to effectively communicate complex technical designs and decisions with internal teams.
- An understanding of GPU computing and AI infrastructure.
- A strong passion for solving complex technical challenges and optimizing system performance.
- Working knowledge of cluster configuration management tools such as BMC or Ansible, and infrastructure-level applications including Kubernetes, Terraform, and MySQL.
- In-depth understanding of container technologies like Docker and Containers.
- Proficiency in programming with Python and Bash scripting.
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