Sr Software Engineer

Disney Disney · Media · New York, NY +4

Senior Software Engineer to lead the design and implementation of AI-driven systems for reliability and performance of Disney's streaming ecosystem. This includes developing agentic systems, ML models, and real-time pipelines for automated detection, root cause analysis, and proactive insights. The role involves owning architectural vision for autonomous agents, translating business needs into scalable AI solutions, and mentoring junior engineers in an AI-native environment.

What you'd actually do

  1. 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.
  2. Lead the development of agentic AI systems powered by modern foundation models (e.g., Claude Opus/Sonnet, GPT-4). You will define the strategy for automated reasoning, decisioning, and predictive modeling for global-scale system reliability.
  3. 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.
  4. Design and maintain scalable APIs and microservices that provide explainability and predictive signals to cross-functional engineering and product stakeholders.
  5. 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).

Skills

Required

  • 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 have

  • 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 bill

What the JD emphasized

  • AI-driven systems
  • agentic systems
  • foundation models
  • LangChain
  • LangGraph
  • prompt engineering
  • model evaluation
  • building complex agentic workflows
  • deploying and monitoring ML systems
  • large-scale data processing
  • AWS ecosystem
  • containerization (Docker, Kubernetes) at scale
  • AI-assisted development tools

Other signals

  • AI-driven systems
  • agentic systems
  • machine learning models
  • real-time pipelines
  • foundation models
  • LangChain
  • LangGraph
  • AWS
  • Kubernetes
  • observability