Disney is seeking a Staff Software Engineer to lead the development and architecture of an AI platform, aiming to enhance their digital platforms' capabilities and align with business goals through innovation and modern software engineering practices.
Requirements
- Proven experience in software engineering with a focus on architecture.
- Experience leading technical teams.
- Proven experience designing and developing highly strategic products/platforms, large scale application/data deployments, managing software or data development lifecycles, and resolving issues that impact product success.
- Proficiency in modern programming languages and frameworks (e.g., Java, GO, Python, JavaScript, etc.).
- Strong understanding of cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Responsibilities
- Design and implement scalable, secure, and high-performance architectures for our digital platforms.
- Ensure that architectural decisions align with business goals and technical standards.
- Collaborate with cross-functional teams to integrate architecture into the overall product roadmap.
- Provide technical guidance and mentorship to other engineers.
- Conduct code reviews and ensure adherence to coding standards and best practices.
- Troubleshoot and resolve complex technical issues.
- Innovate and propose new solutions to enhance our platforms' capabilities.
Other
- Minimum of 7 years of related work experience.
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics engineering, or comparable field of study and/or equivalent work experience.
- Excellent interpersonal and communication skills both written & verbal for technical audiences.
- Positive can-do partnership demeanor while working with cross-functional teams and business units.
- Must be detail oriented, self-organized, and capable of simultaneously prioritizing multiple efforts.
