Lead Software Engineer
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Overview:
As a Lead Software Engineer, you design AI-driven, production-grade systems to boost reliability and performance across Disney’s large-scale streaming ecosystem. You’ll build agentic AI systems, real-time pipelines, and actionable insights to accelerate issue detection and resolution for Disney+, Hulu, and ESPN. You’ll work closely with cross-functional teams to embed intelligence into operational workflows, improving subscriber experience at scale. This fast-paced AI-native role offers ownership of production components and opportunities to shape observability and reliability products.
Responsibilities:
Architect and implement distributed, production-grade systems using real-time telemetry and AI-driven anomaly detectionDefine patterns and scaling strategies for agentic AI systems powered by foundation models to enable real-time health predictionsBuild end-to-end data and decisioning pipelines converting telemetry and user signals into actionable insights and automated detectionDevelop scalable APIs and services delivering predictive signals and explainability to engineers and product stakeholdersCollaborate cross-functionally to embed intelligence in workflows (incident response, release validation, subscriber insights) Drive innovation in observability, reliability, and developer productivity through applied AIDefine engineering standards and best practices, conduct thorough code reviews, and mentor junior engineers
Key requirements:
7+ years in backend development with AI-powered or data-driven applications and scalable APIsProficiency in Spark, PySpark, Python or similar languageExperience delivering production-grade systems at scale in a distributed environmentStrong AI/ML engineering experience with foundation models (Claude, OpenAI, Qwen) using LangChain or LangGraphExperience with PyTorch or TensorFlow for model developmentProficiency with AI-assisted development tools (e.g., Cursor, Claude Code) Experience with GitHub, Docker, and cloud-native deployments (AWS/EKS) Strong API design, microservices, and SDLC understandingStrong analytical, troubleshooting, and cross-functional collaboration skillscross-functional collaborationclear technical communicationfast-paced adaptabilityFastAPI or FlaskSpark/PySparkPython