Big Days Truck Accessories

Engineer

• Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud)
• Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines.
• Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services.
• Bridge ML and infra. Help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines
• Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on
• Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable.
• Interface directly with early customers to understand their environment, workflows, and edge cases.

Forward Deployed Engineer