Customer Support Engineer

TL;DR

Customer Support Engineer (AI Cloud): Investigate and resolve complex technical issues in modern cloud environments for AI workloads with an accent on Linux, Kubernetes, GPU infrastructure, and distributed systems. Focus on debugging production incidents, reproducing root causes, and collaborating with engineering on fixes and tooling improvements.

Location: Remote

Company

hirify.global is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment.

What you will do

• Investigate and resolve complex technical issues in customer environments across Linux, Kubernetes, cloud infrastructure, networking, storage, and GPU workloads
• Support customers running containerized systems, inference workloads, training jobs, or distributed platforms
• Act as a senior escalation point for production incidents, reproduce issues, and work with engineering on long-term fixes
• Build or improve internal scripts, troubleshooting tools, operational documentation, and automation
• Communicate clearly with customers during investigations and incidents
• Participate in weekend coverage and urgent issue response

Requirements

• Strong Linux troubleshooting skills
• Strong Kubernetes and container experience
• Solid understanding of cloud infrastructure in AWS, GCP, Azure, OpenStack, or similar
• Good networking fundamentals
• Ability to write scripts or small tools in Python, Bash, Go, or similar
• Experience working on production issues requiring structured debugging and cross-team collaboration
• Ability to work independently and communicate clearly in writing

Nice to have

• Experience with GPU-based infrastructure
• Familiarity with AI/ML or LLM-related workloads, inference, and training pipelines
• Experience improving observability, tooling, or operational workflows
• History of building useful internal tools or automating repetitive work
• Personal or open-source projects showing technical depth

Culture & Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and work-life balance
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams