ML Infrastructure Engineer

Job Summary

A company is looking for an Engineer, ML Infrastructure (Kubernetes/AWS).

Key Responsibilities

• Designs, implements, and manages Kubernetes clusters on AWS, automating deployment and monitoring of containerized applications
• Automates deployment and scaling of ML containers and integrates infrastructure with platforms like Databricks and Snowflake
• Monitors infrastructure performance and troubleshoots issues across cloud services and orchestration layers

Required Qualifications

• Proven experience with AWS cloud services, Kubernetes, and Docker
• Strong background in Linux systems engineering
• Proficiency in programming languages such as Python, Java, or Go
• Knowledge of infrastructure as code tools like Terraform
• Holds a CKA or CKAD certification from Cloud Native Computing Foundation