Infrastructure Engineer

Job Overview

We're looking for an Infrastructure Engineer to lead the scaling of our machine learning inference system. You'll be responsible for architecting and maintaining infrastructure that serves 150+ biological ML models, scaling our platform several orders of magnitude to meet rapidly growing demand.

Key Responsibilities

• Architect and maintain infrastructure for machine learning inference systems
• Scale platform to handle rapidly growing demand and unpredictable workloads
• Work with Kubernetes and other tools to orchestrate containerized workloads
• Optimize resource allocation and ensure high availability across model serving infrastructure
• Collaborate with founders to design solutions that meet customer needs

Required Qualifications

• Solid programming and automation skills
• Experience with containerization and orchestration concepts
• Cloud platform knowledge (AWS/GCP/Azure)
• Located in the SF Bay Area or able to relocate
• Onsite expectation: Team currently onsite in SF ~5 days/week

Preferred Qualifications

• Experience scaling production systems
• Kubernetes experience
• Infrastructure as code tools (Terraform, Pulumi)
• Monitoring and observability tools
• Experience with GPU workloads

About Tamarind Bio

We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.

New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.