Infrastructure Engineer
at Tamarind Bio — AI Inference Platform for Drug Discovery
What the role involves
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.
You’ll work closely with the founders to design to the constraints of customer needs, unpredictable workloads, and unique Bio-ML models. You'll work with Kubernetes and other tools to orchestrate containerized workloads, optimize resource allocation, and ensure high availability across our model serving infrastructure.
Most importantly, you should thrive in a fast-paced startup environment where you'll wear multiple hats, learn new technologies quickly, and help solve novel technical challenges. We value engineering judgment, problem-solving ability, and the capacity to build systems that can evolve with our growing needs.
Requirements
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 to the Bay Area
Onsite expectation: Team currently onsite in SF ~5 days/week.
Preferred
Experience scaling production systems
Kubernetes experience
Infrastructure as code tools (Terraform, Pulumi)
Monitoring and observability tools
Experience with GPU workloads
About Tamarind Bio
Tamarind Bio is a website and API which allows scientists to use computational biology tools at scale using a simple interface. On Tamarind, scientists can use ML models like AlphaFold to design and simulate molecules by simply selecting inputs instead of or setting up a high performance computing environment or dealing with DevOps. Tamarind is used by tens of thousands researchers in large pharma companies, top biotechs, and academic institutions.
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