Big Days Truck Accessories

Forward Deployed Engineer

Big Days Truck Accessories

full-time

Posted on:

Location Type: Hybrid

Location: San Mateo • California • United States

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Tech Stack

AWSAzureCloudDockerGoGoogle Cloud PlatformKubernetesPythonRaySparkTerraform

About the role

  • 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.

Requirements

  • 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome)
  • Deep familiarity with Kubernetes, Docker, Terraform, and Helm
  • Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.)
  • Fluency in at least one scripting language (Python, Bash, Go preferred)
  • Strong debugging skills across the stack—from network hiccups to memory leaks
  • Experience deploying in cloud-native environments (AWS/GCP/Azure)
  • Comfortable being customer-facing and managing ambiguity in real-time
  • Strong sense of ownership and bias toward action in early-stage environments
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
KubernetesDockerTerraformHelmRayDaskSparkPythonBashGo
Soft Skills
debuggingcustomer-facingmanaging ambiguityownershipbias toward action