Sr Software Engineer

Disney Disney · Media · Glendale, CA +2

Senior Software Engineer to drive and develop scalable data and application integration solutions using Mulesoft for licensing financial systems and AI-powered applications. Will apply ML/AI to optimize workflows, build and deploy LLM-based applications, and work with RAG, vector databases, and embeddings. Requires experience with Mulesoft, API Gateways, SQL, AI/ML frameworks, LLM applications, RAG, Java, Python, cloud platforms, and Kubernetes.

What you'd actually do

  1. Lead the design, development, and deployment of data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications.
  2. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation.
  3. Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration.
  4. Apply machine learning and AI techniques to optimize licensing workflows
  5. Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence.

Skills

Required

  • 5 years of software engineering experience
  • 3 years of experience with integration software Mulesoft
  • API Gateways/API management (Google Apigee)
  • SQL and stored procedures
  • AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • data pipelines
  • building and deploying LLM-based applications
  • prompt engineering
  • fine-tuning
  • RAG (Retrieval Augmented Generation)
  • vector databases
  • embeddings
  • Java
  • Python
  • cloud platforms (AWS, GCP, or Azure)
  • container orchestration (e.g., Kubernetes)
  • Agile development
  • CI/CD pipelines

Nice to have

  • licensing systems in media, entertainment, or digital content industries
  • data engineering
  • applied AI in enterprise environments
  • Master’s degree or certifications in AI, Data Science, or Financial Technology

What the JD emphasized

  • Mulesoft
  • AI/ML frameworks
  • LLM-based applications
  • RAG
  • vector databases
  • embeddings
  • Java
  • Python
  • cloud platforms
  • Kubernetes

Other signals

  • LLM-based applications
  • RAG
  • fine-tuning
  • data and application integration