Description
Disney Entertainment and ESPN Product & Technology is seeking a Software Engineer II who is passionate about observability tooling, data, and integrations. In this role, you will contribute to building and improving components that support how engineering teams collect, analyze, and act on critical system data.
The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly.
Responsibilities and Duties of the Role:
- 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.
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).
Preferred Qualifications:
- 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.
The hiring range for this position in Seattle, WA and New York, NY is $124,900.00 - $167,400.00 per year and in Glendale, CA is $119,200.00 - $159,800.00.