Lead Software Engineer

The Walt Disney Company

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$163,100–$218,700 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday
Closes
Sep 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $191k
$156k most similar roles pay here $233k

This role pays less than 67% of similar roles. Most pay $184,425–$211,200 — the shaded band above. At the midpoint, this role pays about $191k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 117 open roles on FindRole.

Listed pay typically runs $148,700–$199,400 across 117 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Software Engineer

As a Lead Software Engineer within the Observability & Insights group, you will design and build intelligent, AI-driven systems to enhance the reliability of a large-scale streaming ecosystem. You will develop agentic systems, machine learning models, and real-time pipelines that transform telemetry, logs, and user signals into automated detection and root cause analysis for platforms like Disney+, Hulu, and ESPN. Your daily work involves architecting distributed systems using Python, Spark, Pyspark, FastAPI, or Flask to create scalable APIs and predictive insights. You will leverage foundation models such as Claude and GPT-4 through frameworks like LangChain or LangGraph, while utilizing PyTorch, TensorFlow, Docker, and AWS/EKS. The role focuses on solving complex technical problems in observability and reliability by embedding AI into operational workflows to improve system health and developer experience within a fast-paced environment.

What you'll do

  • Architect and implement production-grade distributed systems using real-time telemetry and AI-driven anomaly detection.
  • Design architectural patterns for agentic AI systems powered by foundation models to enable automated reasoning.
  • Develop end-to-end data pipelines that transform logs and user signals into actionable insights and root cause analysis.
  • Create and deploy scalable APIs to deliver predictive signals and explainability to engineering teams and stakeholders.
  • Embed AI intelligence into operational workflows like incident response and release validation to reduce overhead.
  • Establish engineering standards for code quality, thorough code reviews, and mature CI/CD pipelines.
  • Mentor junior engineers while owning components of production systems in an AI-native environment.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 7+ years of applicable experience in backend development, including building AI-powered or data-driven applications and scalable APIs.
  • Proficiency in Spark, Pyspark, Python, or similar programming languages.
  • Experience implementing production-grade systems at scale within a fast-paced, distributed environment.
  • Strong AI/ML engineering experience, including orchestrating foundation models using frameworks like LangChain or LangGraph.
  • Familiarity with developing, training, or fine-tuning models using PyTorch or TensorFlow.
  • Proficiency with AI-assisted development tools and modern practices including GitHub, Docker, and AWS/EKS.
  • Experience with observability platforms (preferred); familiarity with large-scale data platforms like Databricks or Snowflake (preferred).

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