Build and operate continuous delivery infrastructure for Kubernetes deployments across global regions, including progressive rollouts, automated health evaluation, and rollback systems. The role requires strong Go or Python skills, large-scale Kubernetes experience, and familiarity with GitOps tooling.
Lead Software Engineer building real-time observability and root-cause analysis for Baseten's large-scale GPU fabrics and high-performance networks. Requires strong distributed systems and infrastructure experience to correlate telemetry from switches, NICs, GPUs, and inference services.
Site Reliability Engineer owns reliability of multi-cloud Kubernetes infrastructure for AI/ML platform, builds observability tooling as code, automates mitigations, leads incident response, and defines SLOs/SLIs. Requires extensive Kubernetes and observability experience.
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.
Manages GPU fleet operations, including node maintenance, capacity fulfillment, and technical orchestration between SRE/infra teams and customers. Requires 2+ years experience, Kubernetes familiarity, and strong communication skills.
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.
Builds 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.
Build and operate continuous delivery infrastructure for Kubernetes deployments across global regions, including progressive rollouts, automated health evaluation, and rollback systems. The role requires strong Go or Python skills, large-scale Kubernetes experience, and familiarity with GitOps tooling.
Lead Software Engineer building real-time observability and root-cause analysis for Baseten's large-scale GPU fabrics and high-performance networks. Requires strong distributed systems and infrastructure experience to correlate telemetry from switches, NICs, GPUs, and inference services.
Site Reliability Engineer owns reliability of multi-cloud Kubernetes infrastructure for AI/ML platform, builds observability tooling as code, automates mitigations, leads incident response, and defines SLOs/SLIs. Requires extensive Kubernetes and observability experience.
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.
Manages GPU fleet operations, including node maintenance, capacity fulfillment, and technical orchestration between SRE/infra teams and customers. Requires 2+ years experience, Kubernetes familiarity, and strong communication skills.
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.
Builds 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.