Senior Software Engineer - ASE Data Platform

Summary

Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing data platforms using creative algorithms to process petabytes of data with very low latency? If so, join the Apple Services Engineering Data Platform team to design and build a scalable data platform services that is used across Apple. As part of Apple Services Engineering, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle billions of transactions daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are looking for Engineers and Architects passionate about crafting data products. This role requires deep understanding of developing products that are highly scalable, highly available and fully fault tolerant.

Description

We are building and supporting critical infrastructural systems and frameworks that provide and support services like structured and unstructured storage, caching, queueing, searching, querying, and much more. We are looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction of many critical Apple internet services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer’s work will affect the success of some of the most visible current and future Apple features.

Minimum Qualifications

3+ years experience in data processing ecosystems Coding experience in Java/Scala/Go, preferably with critical, large-scale distributed systems Experience in designing and developing stateless APIs using HTTP and similar protocols to support service-oriented software distribution across multiple cloud environments Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and availability Understands MPP Query Engines like Trino, Starrocks, etc. Bachelor’s degree or Masters in Computer Science, Computer Engineering, or equivalent

Preferred Qualifications

Experience with contribution to Open Source projects is a plus Experience with multiple public cloud infrastructure is a plus Experience in cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker is a plus A learning attitude to continuously improve the self, team, and the organization Deeply concerned about excellence and quality Loves fast-paced environment and learning new technologies