BasetenSan Francisco, CABuilds and maintains infrastructure components for ML inference platform using Python and Go. Implements Kubernetes deployments, monitoring systems, and resource management for efficient model serving, requiring Kubernetes knowledge and ML basics.
Infrastructure Engineer responsible for securing, scaling, and maintaining cloud architecture, Kubernetes clusters, ML pipelines, and CI/CD systems at a computer vision AI startup. Must have production Kubernetes, IaC, and AWS/GCP experience.
Design, implement, and maintain cloud infrastructure and CI/CD pipelines. Collaborate with developers, SRE, and Security to ensure system reliability, scalability, and security.
Build automation and systems to provision and orchestrate GPU hardware into scalable Kubernetes clusters. Requires deep Linux expertise, provisioning experience, and strong programming in Python/Go.
Site Reliability Engineer builds and maintains scalable infrastructure for ML model deployment, automates CI/CD pipelines, and ensures reliability using tools like Kubernetes and Terraform. Collaborates cross-functionally, owns projects end-to-end, and mentors juniors; bachelor's in CS or related field required.
Builds internal tooling, monorepos, CI/CD pipelines, and shared libraries to boost engineering productivity. Requires strong proficiency in Go/Python, Kubernetes/Docker experience, and monorepo management.