Field AI
Data Platform Engineer, Infrastructure
Irvine, CA +1 · On-site · Full-time · Posted Jul 11, 2026
- Location
- Irvine, CA
Peoria, Illinois - Experience
- 3–5+ years in infrastructure, platform, DevOps, or SRE roles; ideally supporting data-intensive systems.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
About the job
Build and operate the secure, reliable, cost-efficient cloud infrastructure that supports FieldAI’s data platform and its robot telemetry, analytics, and model-training workloads.
What you'll do
- Design and operate platform compute, storage, networking, and infrastructure-as-code workflows.
- Own reliability, security, observability, capacity planning, and cloud cost management.
- Build infrastructure tooling and paved paths for data and analytics engineers.
What they ask for
- 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.
- Strong experience with AWS or GCP, Kubernetes, and Terraform or similar infrastructure-as-code tools.
- Strong programming skills in Python, Go, or similar; production systems experience covering monitoring, alerting, incident response, and capacity planning.
Nice to have
- Experience supporting data or ML platforms, including Spark/Databricks clusters, GPU scheduling, or feature stores.
- Experience with high-volume telemetry or IoT/edge fleets; cloud cost optimization or early platform/infrastructure hiring experience.
Tools
Kubernetes, Terraform, AWS, GCP, Python, Go, Spark, Databricks
AI focus
Supports infrastructure for ML training and evaluation jobs; the posting does not describe developing AI models.
Model-written summary · the original posting is authoritative