Dev Ops, Facilities Pipeline

Fluidstack

$90K — $130K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience building and maintaining production data pipelines for high-volume data.
  • Proficient in setting up data ingestion and streaming infrastructure like Kafka or equivalent.
  • Skilled in automating deployment and operations using tools like Terraform or Kubernetes.
  • Experience managing on-call duties for data platforms and improving incident response.
  • Familiarity with sensor, IoT, telemetry, or industrial data sources.
  • Ability to develop tooling for small teams to handle large-scale infrastructure efficiently.
  • Bonus: Experience with BMS, SCADA, building automation, time-series databases, or scaling streaming systems.

Responsibilities

  • Build and operate data pipelines for facilities telemetry across multiple sites.
  • Establish ingestion and storage infrastructure for high-frequency sensor data.
  • Automate deployment and monitoring of the telemetry platform for rapid site onboarding.
  • Ensure pipeline reliability and maintain uptime and data-quality guarantees.
  • Develop tooling and infrastructure-as-code for efficient telemetry operation across sites.

Benefits

  • Commitment to pay equity and transparency.
  • Opportunity for exceptional candidates to shape their role.
  • Collaboration with a small team on scalable infrastructure projects.
Full Job Description
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.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [redacted] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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