Senior DevOps / Infrastructure & AI LLM Systems Engineer (Hybrid)

The Senior DevOps / Infrastructure & AI LLM Systems Engineer at Yuma AI is responsible for overseeing all aspects of cloud infrastructure, deployments, and system reliability, primarily across AWS, GCP, and Azure. This foundational role involves managing Kubernetes clusters, optimizing CI/CD pipelines, and ensuring performance and security best practices. Additionally, the engineer will work at the intersection of infrastructure and AI, optimizing LLM deployments, improving latency and cost effectiveness, and contributing to backend systems and data management. With over eight years of experience in fast-paced environments, the ideal candidate will combine technical proficiency in DevOps with a keen interest in AI systems.