Onsite Irvine Cloud Data Platform Engineer

FieldAI; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

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

You will own infrastructure as code, CI/CD, and monitoring, build observability, and enable velocity for pipeline and data services while balancing performance and

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).
• Experience with security fundamentals: IAM, network security, secrets management.

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.

Skills

Infrastructure engineering

DevOps / SRE

Cloud computing

Kubernetes

Python

Go

IaC / Terraform

CI/CD

Security fundamentals

Data platforms

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Terraform

GitOps

Kubernetes

Python

Go

Job description

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

You will own infrastructure as code, CI/CD, and monitoring, build observability, and enable velocity for pipeline and data services while balancing performance and