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Role: Cloud Architect (Remote) Location: Remote (Work from Anywhere) Payout: Competitive Role Overview: We are hiring for one of our clients, seeking a Site Reliability Engineer (LInE) to work on a contract basis. This role involves designing, implementing, and maintaining scalable infrastructure to support next-generation AI systems. Your expertise will directly contribute to how these models learn, reason, and perform across critical domains such as finance, healthcare, and engineering. This is a unique opportunity to apply your Linux, Kubernetes, and Prometheus skills in a cutting-edge environment where real-world expertise shapes the future of AI. Key Responsibilities: • Design, implement, and maintain scalable infrastructure using Linux, Kubernetes, and Prometheus to ensure high availability and performance. • Monitor system health, analyze performance metrics, and proactively address bottlenecks or potential failures to maintain optimal reliability. • Automate operational processes to minimize manual intervention and increase system reliability and efficiency. • Respond swiftly to incidents, conduct thorough root cause analysis, and implement improvements to enhance incident response procedures. • Collaborate closely with development and operations teams to deliver seamless deployments and maintain high system availability. Required Skills & Qualifications: • Proficiency in Linux system administration and troubleshooting. • Hands-on experience with Kubernetes for container orchestration and management. • Strong knowledge of Prometheus for monitoring and alerting systems. • Experience with infrastructure automation tools such as Terraform or Ansible. • Ability to write clear, comprehensive documentation and create operational runbooks. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the artificial intelligence industry. You will be part of a team enabling high-quality contributions at scale, leveraging advanced evaluations and reinforcement learning environments to improve AI systems. The work has global exposure, with the potential for significant impact as you help shape the future of AI through reliable, scalable infrastructure. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!