Senior Software Engineer, Content Platform Engineering

The Walt Disney Company

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Glendale, CABristol, CT
Salary
$144,100–$193,200 / yr
Employment
Full-time
Posted
16 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $169k
$96k $241k
below market most similar roles pay here above market

This role pays less than 60% of similar roles. Most pay $151,000–$201,150 — the blue band above. At the midpoint, this role pays about $169k versus about $176k 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 90 open roles on FindRole.

Listed pay typically runs $150,900–$202,400 across 90 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Senior Software Engineer, Content Platform Engineering

The Sr Software Engineer - Content Platform Engineering joins the Content Platform Engineering team to build and enhance platform capabilities with a focus on computer vision and machine learning workflows. You will design and implement scalable systems, data pipelines, and platform services that deliver automated inspection, validation, and enrichment of media assets. Day-to-day responsibilities include writing and maintaining high-quality code, collaborating with cross-functional teams, and providing technical mentorship. You will utilize core programming languages like Java, Python, or JavaScript alongside REST APIs, GraphQL, and cloud services like AWS S3, Lambda, and EC2. Technical skills include Docker, Kubernetes, Terraform, and various data stores like MongoDB and DynamoDB. This role solves complex problems in the media supply chain, specifically regarding worldwide distribution and monetization of linear networks and theatrical content.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Design, write, test, and deploy high-quality code to develop reliable and maintainable software solutions.
  • Build end-to-end media inspection pipelines that leverage computer vision to streamline content analysis.
  • Design and implement scalable systems, data pipelines, and platform services for automated media asset enrichment.
  • Integrate machine learning models into production systems and manage associated data pipelines.
  • Monitor and optimize production systems to ensure platform stability, performance, and uptime.
  • Provide technical guidance and mentorship to junior engineers to foster a culture of continuous learning.
  • Manage the full application development lifecycle including unit testing, code reviews, and documentation.

What we're looking for

  • Bachelor’s degree in computer science or comparable field of study, and/or equivalent work experience.
  • 5+ years of relevant industry experience.
  • Proficiency in at least one core programming language such as Java, Python, or JavaScript.
  • Experience working with REST APIs or GraphQL for building and consuming web services.
  • Experience with cloud platforms like AWS and their core services such as S3, Lambda, and EC2.
  • Experience with build and deployment technologies including Docker, Gitlab-CI, Terraform/Cloud formation, and Jenkins.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with data store technologies such as MongoDB, Redis, Elasticsearch, Postgres, and DynamoDB.
  • Exposure to machine learning frameworks or building AI/ML solutions (preferred).
  • Familiarity with machine learning model training, prompt engineering, and interacting with LLMs (preferred).
  • Experience integrating machine learning models into production systems and data pipelines (preferred).
  • Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain (preferred).

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