Senior Software Engineer - ASE Data Platform

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. Architect, deploy, and scale Massively Parallel Processing (MPP) query engines (such as Trino and StarRocks) across diverse multi-cloud environments. Orchestrate containerized deployments using Kubernetes, Docker, and Helm to ensure highly available, seamless software distribution and resilient infrastructure. Collaborate cross-functionally with engineering teams across Apple to understand their data landscape, building platform features that optimize and simplify their daily data operations. Drive end-to-end project execution, taking ownership of the software development lifecycle from initial architecture and design reviews through to successful production releases. Investigate, triage, and remediate complex operational issues, ensuring the highest levels of system reliability, low-latency performance, and fault tolerance in production. Champion a culture of engineering excellence by continuously evaluating and integrating emerging technologies to solve complex, petabyte-scale challenges in a fast-paced environment. 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 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

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