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Data Platform Engineer, Infrastructure

FieldAI· Engineering – Mission, Interaction & Intelligence
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Hybrid (Irvine, CA)Full-timePosted 3mo ago

About the role

Data Platform Engineer focusing on building and operating FieldAI's cloud foundation for the data platform, collaborating with pipeline, analytics, edge and robotics teams to ensure reliability, security, and cost-efficiency as the fleet grows.

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.

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.

Skills

Required:Cloud platforms (AWS or GCP)KubernetesInfrastructure as code (Terraform)Python/GoSecurity fundamentals (IAM, secrets management)
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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