Description
We are looking for a platform infrastructure engineer to design, build, and operate cloud-native infrastructure for deploying AI workloads safely and reliably at scale.
AI systems , including autonomous agents, model-serving pipelines, and long-running inference workloads , present unique infrastructure challenges: multi-tenant isolation, network security, container lifecycle management, and operational resilience.
This role owns the Kubernetes platform layer that makes safe cloud deployment of these workloads possible. The engineer will design container architectures for security-sensitive and multi-tenant environments, implement network policies and access controls for workload isolation, build CI/CD pipelines for reliable deployment, and establish infrastructure-as-code practices for reproducibility and auditability.
They will work closely with AI engineers but their primary focus is the platform itself , making it secure, scalable, and operationally excellent.
Beyond immediate needs, they will help establish platform infrastructure best practices that can be applied across the firm's broader cloud-native footprint.