Cloud Data Platform Engineer, Infrastructure – Onsite Irvine

Medium; Irvine (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Field AI, located in Irvine, CA, is seeking a Data Platform Engineer, Infrastructure to build and operate the cloud foundation that powers our data platform. You will collaborate with the pipeline, analytics, edge, and robotics teams to keep the platform reliable, secure, and cost‑efficient as our fleet grows.

The role emphasizes managing large‑scale telemetry processing, infrastructure as code, and a secure, scalable data environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 3–5+ years of experience in infrastructure, platform, DevOps, or SRE roles, ideally supporting data‑intensive systems.
• Strong experience with a major cloud (AWS or GCP), Kubernetes, and infrastructure‑as‑code (Terraform or similar).
• Strong programming skills in Python, Go, or similar for automation and internal tooling.
• Experience operating production systems: monitoring, alerting, incident response, and capacity planning.
• Working knowledge of data infrastructure components (warehouses, object storage, streaming systems, orchestrators) and what they demand from underlying infrastructure.
• Experience with security fundamentals: IAM, network security, secrets management.
• Strong problem‑solving skills and ability to work in interdisciplinary teams.

Responsibilities

• Design, build, and operate the cloud infrastructure for the data platform: compute, storage, 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 and ML training.
• 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.

Skills

Kubernetes

Python

Go

AWS/GCP

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

GitOps

CI/CD

Job description

Field AI, located in Irvine, CA, is seeking a Data Platform Engineer, Infrastructure to build and operate the cloud foundation that powers our data platform. You will collaborate with the pipeline, analytics, edge, and robotics teams to keep the platform reliable, secure, and cost‑efficient as our fleet grows.

The role emphasizes managing large‑scale telemetry processing, infrastructure as code, and a secure, scalable data environment.