Customer Reliability Engineer

Own reliability for named customer workloads: their clusters, their SLAs, their escalations.

Debug across the full stack, hardware to fabric to scheduler, when a training run degrades.

Run customer-facing incident communication with technical depth and no spin.

Turn recurring customer pain into engineering fixes with the production teams.

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 supported large-scale compute customers (HPC, cloud, or AI labs) at a technical level.

You debug distributed systems methodically across layers you don't own.

You've written incident updates customers trusted more after reading.

You push internal teams to fix causes, not symptoms, and follow up until they do.

Bonus: GPU training workloads. InfiniBand or RoCE. Slurm or Kubernetes. NCCL debugging.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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 careers@fluidstack.io 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.