Lead Software Engineer
Glendale, CA, USAAll locationsGlendale, CA, USASanta Monica, CA, USA On-site
Salary not listedJobFig found this opening at its original source and checks that it remains available.
About the role
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. As a Lead Software Engineer, you will apply your deep technical knowledge and skills to help us deliver scalable, performant, maintainable, loosely coupled, encapsulated, and testable software and systems.
What you'll bring
- BS or MS in Computer Science / Engineering or relevant work experience.
- 7+ years of software engineering experience.
- Strong foundation in computer science principles, including data structures and algorithms.
- Advanced proficiency with Java, including but not limited to understanding memory management, multi-threading, profiling, thread pools, connection pools, and HTTP protocols.
- Demonstrable analytical / problem-solving skills.
- Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.
- Experience with: • SpringBoot and related Spring projects.
- Non-relational database technologies like DynamoDB.
- Caching datastores such as Redis, ValKey, or MemCache.
- Data Streaming Mechanisms such as Apache Kafka and/or Kinesis.
- Cloud platforms such as AWS.
- Modern DevOps tools such as Terraform, Docker, and Kubernetes.