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Disney’s Entertainment & ESPN Product & Technology team is seeking a Software Engineer I to help build observability tooling for Disney's streaming platforms. You will implement features, fix bugs, and contribute to metrics, logs, and dashboards under mentor guidance.
The role offers a path to grow in cloud, containers, and IaC concepts. The position focuses on reliability engineering foundations, incident response exposure, and collaboration across product engineering teams to improve system
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We 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. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Join the Observability & Insights group and help build the telemetry, monitoring, and insights platforms that keep Disney's large-scale streaming services reliable - including Disney+, Hulu, ESPN, ABC, ABC News, and related products. As a Software Engineer I, you will implement well-scoped features, fix bugs, and improve tooling under the guidance of senior engineers. You'll contribute to metrics, logs, traces, dashboards, and alerting workflows that help engineering teams across Disney Streaming understand system health and respond to incidents faster.
Develop, test, and document features within existing observability codebases (metrics, logs, traces, dashboards, alerting, and telemetry pipelines).
Fix bugs and address technical debt in assigned components with support from senior teammates.
Write clean, readable, and well-tested code that follows team standards and integrates with established observability frameworks.
Learn and apply patterns for high-volume, low-latency telemetry ingestion and storage.
Assist in instrumenting services and validating telemetry quality (metrics, logs, traces) alongside partner engineering teams.
Build and update dashboards, reports, and visualizations that surface system health and operational trends.
Help tune alerts and reduce noise under guidance from senior engineers and incident response partners.
Participate in code reviews - both giving and receiving constructive feedback.
Contribute to technical design discussions for small-to-medium features; document your work for maintainability and team onboarding.
Gain exposure to cloud infrastructure (AWS), container orchestration (Kubernetes), and Infrastructure as Code (IaC) through guided implementation tasks.
Shadow on-call rotations and incident response workflows to build operational awareness.
Break down assigned work into clear tasks, ask questions early, and communicate progress and blockers proactively.
Partner with teammates across Observability & Insights and service engineering teams to deliver incremental improvements.
Participate in team rituals: standups, sprint planning, retrospectives, and knowledge-sharing sessions.
Develop foundational skills in reliability engineering concepts: SLIs, SLOs, post-incident reviews, and blameless culture.
Proficiency in at least one backend or systems programming language: Go or Python (coursework, internships, and personal projects count).
Foundational understanding of software development practices: version co