Senior Infrastructure Engineer - AI/ML

This fully remote position is a Senior Infrastructure Engineer - AI/ML role focusing on designing, implementing, and optimizing cutting-edge AI/ML infrastructure for organizations. The role involves building modular, cloud-native infrastructure components supporting model training, inference serving, experiment tracking, and data pipelines, working collaboratively in a globally distributed team. Strong Kubernetes, cloud platforms, and Infrastructure-as-Code experience is required.

Requirements

• 4+ years of hands-on infrastructure/platform/DevOps experience
• Strong experience with Kubernetes
• Proficiency with Infrastructure-as-Code tools (Terraform, Helm, Pulumi, or Ansible)
• Experience with at least one major cloud platform (AWS, Azure, GCP)
• Strong programming skills in Python and/or Go
• Understanding of CI/CD practices and GitOps workflows
• Ability to work independently in distributed teams
• Experience contributing to technical initiatives
• Bonus experience: MLOps pipelines, model training and serving, monitoring tools, GPU infrastructure, ML workflow orchestration, service meshes, cost optimization, and secure deployment environments.

Benefits

• Fully remote work
• Medical, dental, and vision insurance
• 401(k) match
• Unlimited PTO
• Disability and life insurance
• HSA & FSA options
• Continuous education reimbursement
• Opportunity to work on open-source projects
• Exposure to a global team