Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.
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 big-data platforms using creative algorithms to process petabytes of data with very low latency? If so, join Apple Data Platform (ADP) team to design and build a scalable big-data platform that is used across Apple.
As part of Apple Data Platform (ADP) you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem solving. By focusing on and respecting the customer’s needs, you’ll be responsible for helping us build the technology that works for so many customers around the world.
We are looking for Engineers and Architects who are passionate about crafting big-data products. This role requires deep understanding of developing products that are highly scalable, highly available and fully fault tolerant.
We are building and supporting services like Spark and Flink in our Data platform which is used by various teams within Apple to enable critical use-cases. 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 internal services for years to come. You are someone with ideas and real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer’s work will affect hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features.
Strong programming expertise in Java, Scala and/or scripting languages, preferably with critical, large-scale distributed systemsExperience in designing, developing and deploying data processing applications and frameworks on cloud-based infrastructure like AWS, GCP etc.Experience in cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker is a plusAbility to design large-scale, complex applications with excellent run-time characteristics such as low-latency, fault-tolerance and availabilityA learning attitude to continuously improve self, team, and the organizationDeeply concerned about excellence and qualityLoves fast paced environment and learning new technologiesBachelor’s degree or Masters in Computer Science, Computer Engineering, or equivalent