AI-Driven Observability Engineer (Streaming)

ESPN

New York (NY)

On-site

USD 125,000 - 167,000

Full time

9 days ago

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Job summary

Disney Entertainment and ESPN Product & Technology in New York, NY seeks a Software Engineer II to build AI‑driven, autonomous systems for streaming reliability and compliance. You will transform telemetry and signals into automated detection and root-cause analysis, partnering with product and platform teams to embed intelligence into operations.

You’ll contribute to end‑to‑end features, drive system design reviews, and own components in a fast‑paced, AI‑native SRE environment, delivering value

Qualifications

  • Backend focus with AI-powered or data-driven apps and scalable APIs.
  • Experience with AWS and cloud architecture for reliability.
  • Practical AI/ML knowledge: agentic workflows or traditional ML.

Responsibilities

  • Design and operate production AI-driven observability systems.
  • Build AI capabilities for real-time health and compliance monitoring.
  • Develop end-to-end data pipelines transforming signals into insights.
  • Create scalable APIs/services for engineering and product teams.
  • Enhance infrastructure visibility and prevent non-compliant deployments.
  • Collaborate across teams to embed intelligence in workflows.

Skills

Backend development
AWS
AI/ML
APIs & microservices
Git & CI/CD
Troubleshooting
Communication

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent

Tools

LangChain
LangGraph
PyTorch
TensorFlow
Docker
Kubernetes / AWS EKS
Datadog
Grafana
Snowflake
PySpark
Pandas
Databricks

Job description

Disney Entertainment and ESPN Product & Technology in New York, NY seeks a Software Engineer II to build AI‑driven, autonomous systems for streaming reliability and compliance. You will transform telemetry and signals into automated detection and root-cause analysis, partnering with product and platform teams to embed intelligence into operations.

You’ll contribute to end‑to‑end features, drive system design reviews, and own components in a fast‑paced, AI‑native SRE environment, delivering value

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