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AI Cost Attribution Pipeline Developer

Covex Cloud

Remote · Under $60k / year · Full-time · Posted 5 months ago

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About the role

When a company spends $200K per month on cloud AI services, the CFO wants to know which team, which project, and which model consumed what. Our cost attribution platform breaks down cloud spending to the individual model and experiment level, giving engineering leaders the data they need to optimize budgets. As a junior developer, you'll build the data pipelines that ingest billing data from AWS, GCP, and Azure, tag each line item with team and project metadata, and produce the attribution reports that our dashboards display. The challenge is matching billing line items (which use cloud-provider-specific naming) to the logical resources (models, experiments, environments) that engineers actually think in terms of. The platform team is four engineers. You'll start with the AWS ingestion pipeline, learning the billing data schema and tagging logic. By month two, you'll extend to GCP. The work is methodical and detail-oriented — a misattributed $50K expense line creates real problems for real teams.

Fully remote.

Responsibilities

  • Build billing data ingestion pipelines from major cloud providers
  • Implement resource tagging logic matching cloud items to teams and projects
  • Generate attribution reports for cost dashboards
  • Handle edge cases: shared resources, spot instances, reserved capacity
  • Test attribution accuracy against manually verified billing samples
  • Document ingestion schemas and tagging rules for each cloud provider

Requirements

  • 1+ year of Python development with SQL experience
  • Basic familiarity with at least one cloud provider: AWS, GCP, or Azure
  • Understanding of data pipeline concepts and ETL workflows
  • Attention to detail for financial data accuracy
  • Interest in cloud infrastructure and cost management

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $1,500 learning stipend
  • Mentorship from senior platform engineers
  • Clear growth path to mid-level

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Categories

MLOps & AI Infrastructure Data Science & Analytics

Skills

python sql aws docker pandas

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

Under $60k / year

AI Expertise

MLOps & AI Infrastructure Data Science & Analytics

Skills

python sql aws docker pandas airflow

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