Dev Ops, Facilities Pipeline

Fluidstack•Austin, TX

10d•$269,000 - $317,000

About The Position

Fluidstack exists to make humanity more free by building civilization-scale infrastructure for AI. They are singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. This role involves building and operating the data pipelines that stream facilities telemetry such as power, cooling, BMS, and environmental sensor data from every site into a unified platform. The goal is to 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. Automation of deployment, monitoring, and alerting is key, aiming for new site data to come online in hours, not weeks. The role requires owning pipeline reliability end-to-end, ensuring uptime and data-quality guarantees for operations and engineering teams. Additionally, shipping tooling and infrastructure-as-code to enable a small team to operate telemetry across a rapidly growing site footprint is essential.

Requirements

Built and operated production data pipelines that ingested high-volume, high-frequency data and stayed up.
Stood up ingestion and streaming infrastructure such as Kafka, a time-series database, or an equivalent that other teams built on top of.
Automated deployment and operations with infrastructure-as-code such as Terraform, Kubernetes, or CI/CD rather than hand-configuring servers.
Owned on-call for a data platform and driven down the incident rate by fixing root causes, not by adding dashboards.
Worked with sensor, IoT, telemetry, or industrial data, and understand what breaks when the physical world is the data source.
Write code and tooling that lets a small team operate infrastructure at a scale that would normally need a much larger one.

Nice To Haves

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.

Responsibilities

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.