Quick overview
Job description
About the Job
As a Data Platform Engineer, Infrastructure, you will build and run the foundation the rest of the data platform stands on: the lakehouse, the compute and orchestration platforms, access control, and the deploy and observability tooling. Your work decides whether our pipelines and analytics are fast, secure, affordable and up when the fleet needs them.
About the Data Platform Team
Every robot we deploy generates a continuous stream of telemetry, sensor logs and operational data from environments around the world. The Data Platform team builds the systems that store, govern and serve that data to autonomy, ML, field operations and customers.
What You'll Get To Do
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Design and operate our AWS lakehouse: S3, Glue catalog, Athena, Iceberg tables, and table maintenance (compaction, snapshots, retention)
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Own data access and governance across accounts: Lake Formation, IAM, cross-account sharing, and least-privilege access for people and services
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Run the platforms the team builds on: Airflow, Kubernetes services, Superset, and the data catalog
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Manage everything as code (Terraform, Helm, ArgoCD) with CI/CD for data services
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Build observability for the platform: metrics, logs, alerting and on-call runbooks
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Track and reduce storage and compute cost as data volume grows with the fleet
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Set the standards other engineers follow for security, reliability and deployment
What You Have
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field
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3–5+ years in data infrastructure, platform, DevOps or SRE roles
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Deep hands-on AWS experience (S3, IAM, Glue/Athena or equivalent, networking)
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Infrastructure as code (Terraform or CloudFormation) and Kubernetes in production
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Strong Python and shell; solid SQL
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Experience running production systems with monitoring, incident response and postmortems
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Experience building platform products that make developers' lives easier: you see which pieces of infrastructure teams keep needing, package them into reusable building blocks (storage, IAM roles, permissions, pipeline wiring in one step), and make the whole company faster
The Extras That Set You Apart
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Experience with Lake Formation or another data governance layer, and multi-account AWS setups
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Experience with Iceberg, Delta or Hudi at scale
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Experience operating Airflow, Trino/Spark, or a BI platform
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Experience with petabyte-scale sensor or media storage (point clouds, video) and lifecycle policies
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