Senior ML Infra Engineer - Multi-Cloud Platform Lead

DatologyAI; San Mateo (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health benefits

4% 401(k) company match

Unlimited PTO

Parental leave 12 weeks; WFH 6 months

Wellness stipend

Learning and development stipend

Lunches in office

Relocation assistance

Job summary

DatologyAI in San Mateo, CA is hiring an experienced Infrastructure Engineer to join our core team. As one of our early senior hires, you will lead the development of data infrastructure capabilities, including multi-cloud support and deployment models, as well as training and inference infrastructure.

You will have a broad impact on the technology, product, and our company's culture. Expect to design and build scalable platforms, empower engineers with best-in-class tooling, and collaborate

Qualifications

• 4+ years of relevant experience.
• Experience building large-scale infrastructure.
• Proficiency in Bash, Kubernetes, Python or Terraform.
• Experience with AWS/Azure/GCP and/or on-prem environments.
• Ability to debug across the stack including networking and memory issues.
• Commitment to building reliable, secure systems and ownership of problems end-to-end.

Responsibilities

• Design and build development and production platforms powering products.
• Architect and deploy core infrastructure across multiple clouds and deployment models.
• Improve tooling to boost team productivity and reliability.
• Collaborate with researchers and engineers to deliver new features.

Skills

Kubernetes

Python

Bash

Terraform

Tools

AWS

Azure

GCP

On-Premises

Job description

DatologyAI in San Mateo, CA is hiring an experienced Infrastructure Engineer to join our core team. As one of our early senior hires, you will lead the development of data infrastructure capabilities, including multi-cloud support and deployment models, as well as training and inference infrastructure.

You will have a broad impact on the technology, product, and our company's culture. Expect to design and build scalable platforms, empower engineers with best-in-class tooling, and collaborate