Sr Software Engineer
About The Position
Disney Entertainment and ESPN Product & Technology is a global organization focused on building and advancing the technological backbone for Disney’s media business. The team combines technology with creativity to develop world-class products, enhance storytelling, and drive innovation and scalability. They work across The Walt Disney Company’s media portfolio, impacting millions globally. The Product Engineering team is 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 specifically ensures the reliability, performance, and transparency of Disney Streaming’s distributed systems by building telemetry, dashboards, alerting, insights pipelines, and developer experience tooling.
Requirements
- 5+ years of applicable experience in backend development, with a proven track record of building and scaling AI-powered or data-driven applications.
- Advanced proficiency with modern models (GPT-4/o1, Claude Opus/Sonnet, Bedrock), including deep experience in prompt engineering, model evaluation, and building complex agentic workflows using frameworks like LangChain or LangGraph.
- Minimum 3 years of hands-on experience deploying and monitoring ML systems (PyTorch/TensorFlow) and large-scale data processing (PySpark, Pandas) in production environments.
- Strong experience with AWS ecosystem and containerization (Docker, Kubernetes) at scale.
- Proven ability to lead technical projects, mentor junior talent, and champion software development best practices (Git, CI/CD, Agile).
- Expert level use of AI-assisted development tools (e.g., Cursor, Claude) to accelerate team velocity and maintain high code quality.
- Exceptional communication skills with the ability to navigate ambiguity and explain complex AI/technical concepts to both technical and non-technical partners.
Nice To Haves
- Experience implementing observability and monitoring systems for high-volume, low-latency production environments.
- Experience with modern databases and observability platforms (Datadog, Grafana, Conviva, MongoDB) handling billions of events.
- Advanced knowledge of distributed systems, microservices architecture, and API design patterns.
Responsibilities
- Own the design and operation of production-grade, intelligent systems leveraging real-time signals and AI-driven detection to ensure the health of critical services and premium customer experiences.
- Lead the development of agentic AI systems powered by modern foundation models (e.g., Claude Opus/Sonnet, GPT-4), defining the strategy for automated reasoning, decisioning, and predictive modeling for global-scale system reliability.
- Oversee the creation of end-to-end data pipelines that process high-volume telemetry and user signals into actionable, automated insights and root cause analysis.
- Design and maintain scalable APIs and microservices that provide explainability and predictive signals to cross-functional engineering and product stakeholders.
- Partner with leadership and cross-functional teams to embed intelligence into global workflows (incident response, release validation), significantly reducing Time-to-Detect (TTD) and Time-to-Resolve (TTR).
- Promote engineering best practices, provide technical guidance through code and design reviews, and drive innovation in observability and developer productivity through applied AI.
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
Senior
