5+ years of professional software engineering experience, building and deploying scalable, distributed systems in a production environment
Strong proficiency in Java, with demonstrated experience applying both Object-Oriented and Functional programming principles
Solid understanding of concurrency control mechanisms, fundamental data structures, and efficient algorithm design
Hands-on experience with with databases such as Cassandra and Redis, and stream processing platforms like Kafka
Proven ability to design and implement systems with a focus on scalability, fault tolerance, and high availability
Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
Experience building and optimizing real-time data pipelines, including data ingestion, transformation, and delivery
Practical experience with container orchestration using Kubernetes and building/maintaining CI/CD pipelines
Familiarity with stream processing frameworks (e.g., Apache Flink, Apache Spark Streaming, Kafka Streams) and associated best practices
Passion for sports and the sports data ecosystem
Self-motivated with strong collaboration and communication skills
Experience working in a fast-paced, agile environment
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.