A company is looking for a Senior Site Reliability Engineer.
Key Responsibilities
Design, deploy, and scale AI / ML / LLM infrastructure across cloud platforms ensuring high reliability and performance
Manage and optimize Kubernetes environments for AI services, data pipelines, and model operations
Implement monitoring, observability, and reliability best practices across AI infrastructure and production workloads
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience
6+ years in SRE, DevOps, Platform Engineering, MLOps, or Cloud Infrastructure roles
3+ years of production experience with Kubernetes and containerization tools like Docker
Strong programming skills in Python and proficiency in Bash, Go, or PowerShell
Experience building or automating data and model pipelines for AI / ML workloads
Senior Site Reliability Engineer • Little Rock, Arkansas, United States