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AI Infrastructure Professional
3 weeks ago
Job Title: Cloud Infrastructure Architect
">Key Responsibilities:- We are looking for an experienced Cloud Infrastructure Architect to lead the design and implementation of our cutting-edge infrastructure.
- This role will be pivotal in designing comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
- The successful candidate will develop robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
- They will plan comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
- The ideal candidate will also design specialized test frameworks for security controls and ensure compliance validation across payment and personal data.
- Responsibilities include architecting a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
- Troubleshooting, diagnosing, and performing root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners.
- Optimizing cluster operations for maximum reliability, efficiency, and performance.
- A minimum of 6-8 years of experience working with developing ML Infrastructure is required.
- 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.
- A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
- The ability to effectively communicate complex technical designs and quality approaches across various mediums.
- A deep 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 BCM 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.