CareerPlanSign in

Infrastructure Engineer

San Francisco💼 Full-time🗓 2026-03-05 → 2026-09-26

Core

Architecting and maintaining infrastructure to scale machine learning inference systems for 150+ biological ML models.

Role type

Senior Infrastructure Engineer (MLOps/Cloud)

Builds

High-availability model serving infrastructure for protein drug discovery and enzyme design

Domain

Biotechnology / Computational Biology / Cloud Infrastructure

Deliverable

infrastructure

Required skills

Cloud platform expertise (AWS/GCP/Azure), Container orchestration (Kubernetes), Programming and automation (Python, Bash), GPU workload management, Infrastructure as code

Preferred skills

Scaling production systems, Kubernetes, Terraform/Pulumi, Monitoring and observability tools

Technologies

AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow, PyTorch, React, Slurm

Responsibilities

Design infrastructure to meet customer constraints and unpredictable workloads, Orchestrate containerized workloads, Optimize resource allocation, Ensure high availability across model serving infrastructure

Seniority

Senior, hands-on IC

Sourced via ashby · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.