Profile cover
M

AI Kubernetes Cost Attribution Developer

Max Dubois

Contract · Job · Chicago

About the role

Kubernetes makes it easy to run workloads. It makes it hard to know what each workload actually costs. Shared nodes, bursty resource usage, and the gap between requested resources and actually consumed resources mean that naive cost attribution is wildly inaccurate. The ML team thinks their monthly compute spend is $80K; the actual number is $210K. We build FinOps tooling for Kubernetes-heavy engineering organizations. Our cost attribution engine accurately allocates actual compute costs to the teams, services, and individual workloads responsible for them — using real consumption metrics rather than request-based approximations. This is a 12-month contract to redesign the attribution engine for a new cost model that handles spot instances, preemptible nodes, and committed use discount allocation — scenarios where the current engine produces systematically wrong numbers.

Responsibilities

  • Redesign Kubernetes cost attribution for spot instances and preemptible node scenarios
  • Implement committed use discount allocation across workload portfolios
  • Build actual consumption tracking using real resource utilization rather than requests
  • Design attribution models for shared infrastructure costs like ingress and monitoring
  • Validate attribution accuracy against cloud billing statements
  • Create migration path from current attribution model with minimal client disruption

Requirements

  • 5+ years in platform engineering with Kubernetes operations and FinOps experience
  • Deep knowledge of Kubernetes resource model, scheduling, and billing concepts
  • Strong Python skills and familiarity with Prometheus and Kubernetes metrics APIs
  • Experience with cloud billing APIs and cost allocation concepts
  • Ability to deliver a scoped migration project with minimal disruption to existing clients

Benefits

  • Fully remote contract
  • Premium senior contract rate
  • Experienced platform engineering team
  • Well-documented codebase and clear scope
  • Strong conversion potential

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Categories

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python kubernetes docker aws sql

Related remote AI jobs

Nearby roles that share similar skills, categories, or hiring intent.

Browse all jobs

Senior Product Security Engineer

RemoteAI company

Full-time Senior

Staff Application Security Engineer

RemoteAI company

Full-time Staff

AI Resident UK/EMEA

RemoteAI company

Full-time

Devops Engineer, US

RemoteAI company

Full-time

Drone Platform Integration & Network Support Engineer

RemoteAI company

Full-time

Technical Writer

RemoteAI company

Part-time

Job Type

Contract

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python kubernetes docker aws sql spark

Ready to apply for this role?

Create a free talent account in under 2 minutes.

  • Apply to verified AI companies
  • Get AI-matched job recommendations
  • Message hiring managers directly
  • Build your public AI talent profile
Create free account & apply Log in

Interested in this role? Create your free profile to apply.

Apply — create free profile