Senior Software Engineer, FinOps & AI Cost Intelligence

5014 Disney Entertainment & Sports LLC; Beaverton (OR); On-site; USD 149,000 - 199,000; Full time

Job summary

Disney Entertainment and ESPN Product & Technology seeks a Senior Software Engineer to design and operate AI-driven cost intelligence platforms and data pipelines. You will own production patterns, mentor engineers, and partner with Finance and Cloud teams to deliver cost visibility and optimization.

Based in Seattle, WA, this full-time role focuses on cloud billing data, cost allocation, and scalable FinOps tooling for large-scale media tech workloads.

Qualifications

• Minimum 5 years in software or data engineering, with cloud focus.
• Experience owning programs and components with limited guidance.
• Strong engineering fundamentals and production data pipelines.
• Hands-on cloud billing data, cost management, and allocation knowledge.
• Excellent communication to align cross-functional teams.

Responsibilities

• Design, build, and maintain AI-driven cost intelligence platforms.
• Own deployment patterns for production services and CI/CD.
• Develop cost data pipelines ingesting cloud/provider data with quality and freshness.
• Extend cost attribution capabilities as AI workloads scale.
• Build optimization automations for rightsizing and idle resource detection.
• Mentor junior engineers and improve engineering practices.
• Collaborate with Cloud, Platform, Finance, Product, and Architecture teams.

Skills

5+ years software engineering

AWS cloud experience

Python

SQL

Data pipelines

GCP/Azure familiarity

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Databricks

Airflow

Terraform

CI/CD pipelines

Job description

Disney Entertainment and ESPN Product & Technology seeks a Senior Software Engineer to design and operate AI-driven cost intelligence platforms and data pipelines. You will own production patterns, mentor engineers, and partner with Finance and Cloud teams to deliver cost visibility and optimization.

Based in Seattle, WA, this full-time role focuses on cloud billing data, cost allocation, and scalable FinOps tooling for large-scale media tech workloads.