Software Engineer - Devops Mobile

Disney Disney · Media · New York, NY +1

Software Engineer - DevOps Mobile role focused on developing and supporting automation tools and processes for client applications across various Disney streaming services. Responsibilities include building and maintaining complex build systems, CI/CD pipelines, on-device deployment and testing, and troubleshooting build environment issues. Requires experience with DevOps, build engineering, Jenkins, and Docker, with a preference for familiarity with various programming languages and cloud platforms.

What you'd actually do

  1. Build, maintain, and evolve complex build systems across multiple inter-dependent teams
  2. Automation, CI/CD with on-device deployment and testing
  3. Create and maintain build containers for a variety of devices and platforms
  4. On-board and document new client devices and platforms
  5. Centralized ownership and standardization of cross-team build system, from infrastructure to scripts

Skills

Required

  • DevOps
  • build engineering
  • systems engineering
  • git
  • Jenkins scripted pipelines
  • Docker
  • problem-solving
  • analytical abilities
  • prioritization
  • support request management
  • AI-assisted development tools

Nice to have

  • Software Development Lifecycle
  • Xcode
  • Fastlane
  • Android application building
  • Rust
  • C/C++
  • Java
  • Kotlin
  • Groovy
  • JavaScript
  • Ruby
  • Python
  • *nix Shell Scripting
  • Windows Scripting
  • PowerShell
  • NPM
  • Cargo Crates
  • Maven
  • Ant/Ivy
  • Gradle
  • Bazel
  • GitHub Actions
  • Gitlab pipelines
  • AWS
  • Google Cloud
  • Azure
  • Ansible
  • Terraform
  • infrastructure as code

What the JD emphasized

  • A minimum of 3 years of experience with DevOps, build, or systems engineering
  • Experience with Jenkins scripted pipelines and Docker
  • Experience using modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation.
  • Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks.