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Apple Sports is looking for an expert Fullstack Engineer to help redefine how users experience sports through the Apple Sports app, Apple TV, and more. As part of the Sports team, you'll collaborate with world-class engineers to craft intuitive, high-performance user experiences while building the reliable, scalable backend systems that power them. This is an outstanding opportunity to shape the sports experience for millions of users worldwide.
Description
Join our Sports Engineering team and help build both the engine and the face of real-time sports experiences for millions of fans! As a Senior Fullstack Software Engineer, you will be responsible for designing, developing, and maintaining the full spectrum of our technology stack - from highly available, real-time data services that ingest and distribute sports data at massive scale, to the rich, responsive user interfaces that bring that data to life. Your work will span high-throughput, low-latency distributed systems on the backend and polished, performant client-side experiences on the frontend. You'll collaborate with design, product, and platform teams to deliver cohesive end-to-end features, while leveraging industry-standard best practices across the stack. Additionally, you will have the opportunity to provide technical guidance and mentorship to junior engineers, fostering a culture of learning and growth.
Minimum Qualifications
5+ years of professional software engineering experience building and deploying full-stack features in a production environment
Strong proficiency in Java for backend services, with demonstrated experience applying both Object-Oriented and Functional programming principles
Hands-on experience building modern frontend applications using frameworks such as React, Vue, or equivalent, with strong proficiency in TypeScript/JavaScript, HTML5, and CSS3
Solid understanding of RESTful and GraphQL API design, enabling seamless integration between frontend and backend layers
Hands-on experience with databases such as Postgres 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
Preferred Qualifications
Experience building and optimizing real-time data pipelines, including data ingestion, transformation, and delivery, with a track record of surfacing that data in compelling UI experiences
Familiarity with state management patterns and tools (e.g., Redux, Zustand, or equivalent) and experience optimizing frontend performance for real-time data rendering
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
Experience collaborating closely with UX/UI designers to translate design systems into production-ready interfaces
Passion for sports and the sports data ecosystem
Self-motivated with strong collaboration and communication skills
Experience working in a fast-paced, agile environment
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: d4844507c2cb8c20a2ab200fdf98942
- Posted 30+ days ago
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