Product Software Engineer I

Job Summary

As a member of the Sports Backend Engineering Product APIs team, you will help build and support the services and APIs that deliver sports data and content to Disney Entertainment and ESPN digital products across platforms, including the ESPN app, ESPN.com, ESPN Studio shows, and more.

Responsibilities And Duties Of The Role

• Implement features and fix bugs within backend services and APIs under the guidance of senior engineers
• Contribute to the development and testing of scalable backend services that deliver sports data and content to frontend clients and applications across platforms
• Participate in code reviews, learning and applying team coding standards and best practices
• Aid in analyzing and resolving engineering problems involving high-traffic web and mobile application services and APIs
• Collaborate with product managers and fellow engineers in the design and implementation of systems delivering high-throughput experiences
• Support the operation of mission-critical cloud-based services, with an emphasis on reliability, security, and performance
• Break down features into tasks and contribute to sprint planning and estimation
• Research and experiment with new technologies to support current and future projects

Required Education, Experience/Skills/Training

• Basic Qualifications: Foundational knowledge of programming concepts, data structures, and algorithms; experience or coursework with Java or similar object-oriented languages; exposure to software development best practices including unit testing, code reviews, and version control (Git); demonstrated ability to learn and adapt to new technologies; strong communication skills and attention to detail; ability to work constructively in a collaborative, diverse team environment
• Preferred Qualifications: Experience with open-source technologies such as Spring, Tomcat, MySQL, Kafka, or Elasticsearch; familiarity with RESTful API design and development; exposure to CI/CD pipelines and deployment practices; interest in or experience with high-volume, fault-tolerant distributed systems; familiarity with observability tools and monitoring practices; hands-on experience or strong interest in Generative AI; familiarity with cloud-based technologies such as AWS (EC2, ECS, S3, Lambda) or equivalent platforms

Required Education

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.