Software Engineer – Cloud Infrastructure

remotemid

via Ashby

About this role

ABOUT THE JOB FriendliAI is looking for a Cloud Infrastructure Engineer to own the architecture and evolution of the cluster platform behind our GPU-accelerated AI inference cloud. As a Software Engineer, Cloud Infrastructure, you will design how our clusters are built and connected, extend Kubernetes where its defaults fall short, and own the network path that inference traffic depends on. Inference is an unforgiving workload for Kubernetes. Traffic is bursty and latency-sensitive, GPU capacity is scarce and inelastic, tenants must stay isolated, and multi-node serving depends on the network holding up under sustained load. This is a hands-on architecture role for an engineer who has already run large clusters in production and wants to push them further. KEY RESPONSIBILITIES…

Read the full description on Friendliai's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, go, aws, kubernetes, helm…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is remote-eligible. We factor in your stated location and time-zone overlap.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythongoawskuberneteshelmistioterraformteamsmtls

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