Sr. Software Engineer, Big Data - Apple Services Engineering

Weekly Hours : 40

Role Number : 200619687-0836

Summary

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.

Description

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.

Minimum Qualifications

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.

Preferred Qualifications

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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant () .