Data Platform Engineer, Infrastructure — Onsite Irvine

FieldAI; Peoria (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Field AI in Irvine, CA is hiring a Data Platform Engineer, Infrastructure, to build and operate the cloud foundation for our data platform. You’ll collaborate with pipeline, analytics, edge and robotics teams to keep the platform reliable, secure, and cost-efficient as our fleet grows.

Join a hands-on, interdisciplinary team advancing autonomous robotics, with opportunities to shape cloud architecture, tooling, and governance across distributed systems and production workloads.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
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Responsibilities

• Design, build, and operate the cloud infrastructure for the data platform: compute (Kubernetes, serverless, batch clusters), storage (object stores, warehouse/lakehouse), and networking
• Manage everything as code: Terraform/IaC, GitOps workflows, and CI/CD for infrastructure and data services
• Provision and tune infrastructure for heavy workloads: large-scale sensor data processing, distributed pipeline execution, and ML training and evaluation jobs
• Own platform reliability: SLAs/SLOs, on-call practices, incident response, and capacity planning as fleet data volume grows
• Implement security and governance: IAM and access controls, secrets management, encryption, audit logging, and environment isolation
• Own cloud cost management: monitoring, budgeting, and optimization across storage and compute
• Build the observability stack (metrics, logging, tracing) for all data platform services
• Build internal tooling and paved paths so pipeline and analytics engineers can ship without becoming infrastructure experts

Education

Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field

Tools

AWS

GCP

Kubernetes

Terraform

Python

Go

CI/CD

Job description

Field AI in Irvine, CA is hiring a Data Platform Engineer, Infrastructure, to build and operate the cloud foundation for our data platform. You’ll collaborate with pipeline, analytics, edge and robotics teams to keep the platform reliable, secure, and cost-efficient as our fleet grows.

Join a hands-on, interdisciplinary team advancing autonomous robotics, with opportunities to shape cloud architecture, tooling, and governance across distributed systems and production workloads.