About The Position

Join our Sports Backend Infrastructure team and build the engine that powers real-time sports experiences for millions of fans! As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining the highly available, real-time data services that ingest, process, and distribute sports data at massive scale. Your work will focus on building and optimizing high-throughput, low-latency distributed systems, ensuring exceptional performance, reliability, and scalability. You’ll leverage industry-standard best practices for distributed architectures and collaborate with world-class engineers to deliver impactful features and execute on our technical roadmap. Additionally, you will have the opportunity to provide technical guidance and mentorship to junior engineers, fostering a culture of learning and growth.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • Designing, developing, and maintaining highly available, real-time data services
  • Building and optimizing high-throughput, low-latency distributed systems
  • Providing technical guidance and mentorship to junior engineers
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