Software Engineer II
About The Position
Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more, focused on building and advancing the technological backbone for Disney’s media business globally. The team combines technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for their businesses. They work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms, including product engineering, media engineering, quality assurance, and the engineering behind personalization, commerce, lifecycle, and identity. The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent by building telemetry, dashboards, alerting, insights pipelines, and developer experience tooling. This role is encouraged to leverage modern AI tools to enhance development workflows and productivity, and engineers are encouraged to learn and apply emerging technologies in practical ways across the engineering lifecycle.
Requirements
- Minimum 3 years of professional experience in software development.
- Experience building and maintaining applications using modern programming languages (e.g., Golang, TypeScript, Python, Java, C++, Rust) and frameworks (e.g., React, Angular).
- Strong analytical and problem-solving skills with attention to detail.
- Experience with modern development practices, including version control (e.g., GitHub) and CI/CD or configuration-based deployments (e.g., Kubernetes, Terraform, CloudFormation).
Nice To Haves
- Experience with observability platforms (e.g., Datadog, Splunk, New Relic).
- Familiarity with data platforms and databases such as Databricks, Snowflake, MySQL, or PostgreSQL.
- Experience working in large-scale engineering environments.
- Exposure to distributed systems or streaming platforms; understanding of client-server architecture is a plus.
- Exposure to using data or observability tools to support engineering improvements.
Responsibilities
- Contribute to the development and maintenance of components that support observability tools, data pipelines, and engineering systems.
- Collaborate with teammates to implement features that improve system monitoring, data collection, and analysis.
- Learn and apply AI-assisted development tools to improve coding efficiency and workflow productivity.
- Help implement updates to existing engineering data models and integrations across systems.
- Assist in debugging issues and contribute to root cause analysis under guidance from senior engineers.
- Support the delivery of data-driven insights that help improve system performance and reliability.
- Identify small opportunities to improve code quality, documentation, or team processes.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
