Apple-posted 3 months ago
$181,100 - $318,400/Yr
Full-time • Senior
Cupertino, CA
Computer and Electronic Product Manufacturing

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.

  • Join a small team of data engineers to develop and iterate quickly on all stages of data pipelines.
  • Lead, design, develop and drive the unique solutions required to scale to the data needs of Apple.
  • Rethink, set a technical vision and guide team, partners and stakeholders to execute on vision.
  • Drive for quality, scalability and a strong collaborative environment.
  • BS or MS in Computer Science or a related field with 10+ years experience.
  • Strong technical knowledge in Java, Scala, SQL.
  • Experience leading complex engineering projects from inception to production across organizational boundaries.
  • Exceptional analytical skills combined with a deep knowledge of data structures and algorithms.
  • Can see the big picture, set a vision, and grow the team and platform in accordance to that vision.
  • Excellent communication skills.
  • Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership.
  • Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc.
  • Enjoys deep technical and product discussions.
  • Has attention to detail and can context switch across multiple projects.
  • Deep experience in designing and implementing scalable big data solutions that span multi-functional teams.
  • Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem.
  • Experience integrating messaging technologies like Kafka.
  • Experience with mentoring, guiding, and motivating other team members.
  • Experience with NoSQL data stores like Cassandra, Voldemort, etc.
  • Applied experience with LLMs and/or agent in production environment.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses — including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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