Embedded engineer • burbank ca
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The average salary range is between $ 99,686 and $ 150,000 year , with the average salary hovering around $ 115,009 year .
Résumé du poste:
At Disney “We Power the Magic!” That’s our motto at Disney Experiences (DX) Technology & Digital. Our team creates world-class immersive digital experiences for Disney’s Consumer Products Business.
This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Senior Software Engineer will report to the Sr Manager, Technology.
About the Role & Team
We are seeking a talented Sr Software Engineer to drive and develop scalable and performing data and application integration through APIs and/or Data across Licensing Financial Systems and Artificial Intelligence Systems. This role will be instrumental in shaping the architecture, integration, and delivery of next-generation platforms that power financial licensing workflows and predictive analytics.
What You’ll Do
Lead the design, development, and deployment of data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications.
Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation.
Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration.
Apply machine learning and AI techniques to optimize licensing workflows
Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence.
Stay current with emerging technologies in integration, AI, financial systems, and cloud-native development to inform strategic decisions.
Qualifications:
A minimum of 5 years of software engineering experience, including development of data and application integration for complex and large-scale systems
A minimum of 3 years of experience with integration software Mulesoft
Hands-on experience with API Gateways/API management (Google Apigee)
Excellent database skills in SQL and stored procedures and in optimizing large, complex SQL statements
Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines.
Hands-on building and deploying LLM-based applications, including prompt engineering and fine-tuning
Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings
Excellent programming skills in languages Java and Python.
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes).
Agile development experience and familiarity with CI/CD pipelines.
Excellent communication and stakeholder engagement skills.
Preferred Qualifications
Experience with licensing systems in media, entertainment, or digital content industries.
Background in data engineering or applied AI in enterprise environments.
Education:
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Master’s degree or certifications in AI, Data Science, or Financial Technology is a plus.
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