Role Scope- - Build and operate the data pipelines that stream facilities telemetry such as power, cooling, BMS, and environmental sensor data from every site into a unified platform.
- - Stand up the ingestion, storage, and streaming infrastructure to handle high-frequency sensor data from a fleet scaling to tens of gigawatts across many concurrent sites.
- - Automate deployment, monitoring, and alerting for the telemetry platform so a new site's data comes online in hours, not weeks.
- - Own pipeline reliability end to end, with the uptime and data-quality guarantees that operations and engineering teams depend on to run live datacenters.
- - Ship the tooling and infrastructure-as-code that lets a small team operate telemetry across a rapidly growing site footprint.
What We're Looking For- **The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.**
- - You've built and operated production data pipelines that ingested high-volume, high-frequency data and stayed up.
- - You've stood up ingestion and streaming infrastructure such as Kafka, a time-series database, or an equivalent that other teams built on top of.
- - You've automated deployment and operations with infrastructure-as-code such as Terraform, Kubernetes, or CI/CD rather than hand-configuring servers.
- - You've owned on-call for a data platform and driven down the incident rate by fixing root causes, not by adding dashboards.
- - You've worked with sensor, IoT, telemetry, or industrial data, and you understand what breaks when the physical world is the data source.
- - You write code and tooling that lets a small team operate infrastructure at a scale that would normally need a much larger one.
- - **Bonus:** BMS, SCADA, or building automation data. Time-series databases such as InfluxDB, TimescaleDB, or Prometheus. Datacenter or industrial telemetry. Streaming systems at scale such as Kafka, Flink, or Spark.
We are committed to pay equity and transparency.
