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

Yuma(2 months ago)

HybridFull TimeSenior$163,142 - $218,594 (estimated)Engineering

About this role

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.

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Required Skills

Cloud Infrastructure
Kubernetes
CI/CD
Observability
Incident Response
Cost Optimization
Security Practices
PostgreSQL
Redis
API Performance

+6 more

About Yuma

yuma.ai

Yuma is an AI-driven e-commerce platform designed to drive revenue growth and enhance customer satisfaction throughout the entire purchasing process. By leveraging artificial intelligence, Yuma addresses various e-commerce challenges, offering solutions that optimize operations before, during, and after transactions. The platform is built to help businesses maximize their performance and improve the overall shopping experience for their customers.