Cloud Infrastructure Engineer

42dot is seeking a Cloud Infrastructure Engineer to build and operate cloud infrastructure for autonomous driving data and ML workloads on AWS and Kubernetes. The role involves leading infrastructure services, driving Kubernetes improvements, setting up multi-region environments, owning CI/CD pipelines, defining on-call strategy, building automated workflows, and collaborating with security. The engineer will work with Data and ML Platform teams to implement DataOps and MLOps best practices.

Bachelor's degree in Computer Science or related field, minimum 5 years experience in software engineering or cloud infrastructure, production experience with Kubernetes and AWS (EKS), infrastructure as code (Terraform, Pulumi, CloudFormation, CDK), monitoring (Datadog, Prometheus, CloudWatch), proficiency in Python or Go, CI/CD and GitOps (GitLab, Argo CD). Preferred: deep Kubernetes knowledge, Helm, observability, GPU/ML workloads, Linux internals, distributed systems, autonomous driving/robit