Principal AI-Observability Engineer for Streaming

5014 Disney Entertainment & Sports LLC

New York (NY)

On-site

USD 193,000 - 259,000

Full time

10 days ago

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Benefits offered by this job

Bonus
Medical benefits

Job summary

Disney Entertainment and ESPN Product & Technology is seeking a Principal Software Engineer to design and operate AI‑driven, production‑grade observability systems for streaming platforms. You will build autonomous agentic components, real‑time telemetry pipelines, and scalable APIs, while optimizing costs and improving reliability across AWS/Azure/GCP environments.

The role emphasizes independence, technical leadership, and collaboration across teams to raise the engineering bar and deliver

Qualifications

  • AI-powered or data-driven applications experience.
  • 12+ months of production systems with AI components.
  • Strong model prompting and orchestration pattern design.
  • Experience with hyperscaler cloud platforms and frontier model APIs.
  • Proven ability to deliver high‑impact, independent work with cross‑functional teams.

Responsibilities

  • Design and operate intelligent production systems with AI-driven detection.
  • Build autonomous agentic systems and real-time telemetry pipelines.
  • Develop end‑to‑end data and decisioning pipelines with scalable APIs.
  • Optimize AI usage for cost, performance, and reliability.
  • Mentor engineers and set technical direction in observability and reliability.

Skills

AI/ML engineering
Model prompting
Context engineering
Orchestration patterns
Independent work
Cross-functional collaboration

Education

Bachelor’s degree in CS or related field

Tools

LangChain
LangGraph
AWS
Azure
GCP
Docker
GitHub
OpenTelemetry
Datadog
Grafana
PySpark
Pandas
Databricks

Job description

Disney Entertainment and ESPN Product & Technology is seeking a Principal Software Engineer to design and operate AI‑driven, production‑grade observability systems for streaming platforms. You will build autonomous agentic components, real‑time telemetry pipelines, and scalable APIs, while optimizing costs and improving reliability across AWS/Azure/GCP environments.

The role emphasizes independence, technical leadership, and collaboration across teams to raise the engineering bar and deliver

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