Infrastructure Software Engineer

Overview

Role involves building and maintaining components of an ML inference platform for AI applications.

Ideal candidate should have 1-3 years of experience in software engineering with proficiency in programming languages and knowledge of Kubernetes.

Locations

• United States, New York, New York City
• United States, California, San Francisco

Requirements

• Bachelor's degree
• 1-3 years experience
• Proficient in programming languages
• Knowledge of Kubernetes
• Basic understanding of ML concepts
• Familiarity with distributed systems
• Experience with monitoring tools
• Strong collaboration skills

Responsibilities

• Develop infrastructure components
• Implement Kubernetes deployments
• Contribute to orchestration layer
• Build monitoring systems
• Implement resource management solutions
• Support infrastructure automation
• Collaborate on technical solutions
• Participate in technical discussions

Benefits

• Unlimited PTO
• 401k
• covered healthcare premiums
• remote-first culture
• inclusive work culture
• learning opportunities
• networking opportunities