Infrastructure Engineer (AI)

TL;DR

Infrastructure Engineer (AI): Designing and advancing core infrastructure to empower engineering teams with an accent on reliability, developer toolchains, and AI/ML infrastructure. Focus on automating complex operations, building large-scale deployment pipelines, and managing multi-cloud Kubernetes clusters.

Location: Must be based in Taiwan (Remote)

Company

hirify.global is a leading AI company born from Stanford University, specializing in contact center automation and customer insights through a fusion of human and artificial intelligence.

What you will do

• Partner with engineers to build and optimize developer tools and deployment infrastructure.
• Ensure high reliability of multi-cloud Kubernetes clusters and CI/CD pipelines.
• Implement metrics, logging, and monitoring solutions for performance and security.
• Develop infrastructure-as-code deployment tooling across multiple cloud providers.
• Automate operational tasks to improve team efficiency.
• Build and maintain specialized machine learning infrastructure to support training and deployment at scale.

Requirements

• 5+ years of experience in DevOps, Site Reliability Engineering, or equivalent production roles.
• Deep proficiency in Golang or Python.
• Production experience with Kubernetes, including templating tools like Helm or Kustomize.
• Strong background in IAC tools such as Terraform or CloudFormation.
• Extensive experience with AWS services (IAM, S3, EC2, EKS).
• Knowledge of GitOps tooling such as Flux or Argo and CI/CD pipelines like GitHub Actions.

Nice to have

• Experience with GPU-enabled clusters.
• Production experience with Google Cloud or Azure.
• Deep understanding of container-related security best practices.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance plans.
• Paid parental leave.
• Monthly health and wellness allowance.
• Work from home office stipend to support a remote environment.
• Equity compensation.