Apple-posted 3 months ago
Cupertino, CA
5,001-10,000 employees

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. Data is our first class citizen. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple’s privacy policy, which forms Apple’s core values. You will have important responsibility and influence in designing and building the data platform to empower data analytics.

  • Design and build distributed systems for data analytics.
  • Ensure systems scale well, are highly available, and provide consistent results.
  • Influence the design and architecture of the data platform.
  • Collaborate with engineers, product managers, designers, and partners.
  • Lead complex engineering projects from inception to production.
  • BS or MS in Computer Science or a related field.
  • 10+ years of experience in software engineering.
  • Strong technical knowledge in Java, Scala, SQL.
  • Exceptional analytical skills with a deep knowledge of data structures and algorithms.
  • Experience leading complex engineering projects across organizational boundaries.
  • Excellent communication skills to convey complex ideas.
  • Deep experience in designing and implementing scalable big data solutions.
  • Multi-year experience with Big Data technologies like Spark, Flink, and Hadoop.
  • Experience integrating messaging technologies like Kafka.
  • Experience with mentoring, guiding, and motivating team members.
  • Experience with NoSQL data stores like Cassandra and Voldemort.
  • Applied experience with LLMs and/or agents in a production environment.
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