FieldAI

FieldAI

Data Platform Engineer, Infrastructure

Irvine, CA

Sponsorship not specifiedDetected 11 days ago
PythonGoDatabricksAWSGCPCloud PlatformsKubernetesTerraformCI/CDDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningSparkNLPCybersecurityNetwork SecurityIncident ResponseBudgetingRoboticsResearchCollaborationProblem Solving

About the role

  • About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing.
  • Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

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.
  • 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.

Requirements

  • Working knowledge of data infrastructure components (warehouses, object storage, streaming systems, orchestrators) and what they demand from underlying infrastructure.
  • Strong problem-solving skills and ability to work in interdisciplinary teams.
  • Experience supporting data or ML platforms specifically (Spark/Databricks clusters, GPU scheduling, feature stores).
  • Experience with high-volume telemetry or IoT/edge fleets.
  • Track record of significant cloud cost optimization.
  • Experience with security fundamentals: IAM, network security, secrets management.

Nice to have

  • 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.

Skills

  • Learn more at https://fieldai.com.
  • What You'll Get To Do
  • compute (Kubernetes, serverless, batch clusters), storage (object stores, warehouse/lakehouse), and networking.

Company info

  • We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.
  • The Extras That Set You Apart
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This listing is sourced directly from FieldAI's careers page and normalized into a canonical job model.