Implement features and resolve defects within backend services and APIs supporting ESPN watch experiences
Contribute to the development, testing, deployment, and maintenance of scalable backend systems delivering high-traffic streaming and content experiences
Analyze and troubleshoot engineering problems involving distributed systems, high-throughput APIs, caching layers, and cloud-based infrastructure
Participate in code reviews while applying engineering best practices, coding standards, testing strategies, and operational excellence principles
Collaborate with product managers, frontend teams, platform teams, and partner engineering organizations to design and implement reliable and scalable solutions
Support mission-critical live sports and streaming platforms with an emphasis on reliability, resiliency, observability, performance, and operational readiness
Participate in team on-call rotations, live event support, and incident response activities
Contribute to sprint planning, technical design discussions, estimation, and delivery execution
Research and experiment with emerging technologies and AI-assisted engineering workflows to improve developer productivity and platform capabilities
Grow your technical and professional skills through mentorship, feedback, and hands-on experience with modern distributed backend systems.
Requirements
Bachelor's degree in computer science, Engineering, or related field
or equivalent experience
3+ years of experience developing backend systems or APIs in Java (Spring Boot preferred)
Familiarity with cloud
native development, particularly in AWS (ECS, Lambda, CloudFront, S3, etc.)
Hands-on experience with monitoring and observability stacks (DataDog, New Relic, CloudWatch)
Experience with CI/CD pipelines, Git, build systems (e.g., TeamCity, Jenkins), and containerized deployments
Strong understanding of REST APIs, caching strategies, and performance optimization
Comfortable working in high-stakes environments with live event traffic and tight SLAs
Leverage agentic AI development tools such as Cursor and Claude Code to accelerate development workflows, including code generation, test creation, debugging, and operational automation across APIs and infrastructure
Participate in regular on call rotation and major event coverage throughout the many sports seasons.
Tech Stack
AWS
Cloud
Distributed Systems
Java
Jenkins
Spring
Spring Boot
SpringBoot
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.