Product Software Engineer II - Java/Full Stack & DevOps

The Walt Disney Company

Glendale (CA)

On-site

USD 118,000 - 158,000

Full time

14 days+

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Job summary

The Walt Disney Company in Glendale, CA is seeking a Product Software Engineer II who delivers high‑quality, scalable features across Java, Python, and JavaScript stacks. You will own medium‑sized software solutions, contribute to architecture, and collaborate with cross‑functional teams to drive velocity and reliability.

You will work in a fast‑paced environment, applying Agile practices, code reviews, and test automation while building resilient systems using cloud platforms like AWS and

Qualifications

  • Minimum 3 years of professional software engineering experience.
  • Proficiency in Java, Python, or JavaScript.
  • Experience with distributed systems and scalable applications.
  • Ability to translate requirements into software designs and documentation.

Responsibilities

  • Develop, test, and maintain features within existing systems and contribute to architecture.
  • Break down features into tasks and participate in code reviews and planning.
  • Develop, document, and implement software solutions that meet specifications.
  • Review code, execute testing, and debug small to medium projects.
  • Collaborate with cross-functional teams to align on deliverables.

Skills

Java
Python
JavaScript
Distributed systems
AWS
Spring Framework
Open-source tools
Datadog APM
Elasticsearch

Education

Bachelor's degree in Computer Science or related field

Tools

SpringBoot
Terraform
AWS
GitLab CI/CD
Datadog APM
Elasticsearch

Job description

The Walt Disney Company in Glendale, CA is seeking a Product Software Engineer II who delivers high‑quality, scalable features across Java, Python, and JavaScript stacks. You will own medium‑sized software solutions, contribute to architecture, and collaborate with cross‑functional teams to drive velocity and reliability.

You will work in a fast‑paced environment, applying Agile practices, code reviews, and test automation while building resilient systems using cloud platforms like AWS and

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