Infrastructure Engineer

Other

• 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