Description
As a Platform Software Engineer, you will develop, test, document, improve, and maintain code mostly in Java (and other languages as needed). You will partake in every aspect of your projects, from planning to design to implementation and future iterations. The ideal candidate is self-motivated, pro-active and results-driven. Attention to detail, dedication to providing high-quality solutions modeling engineering excellence, and ability to work towards on-time delivery of projects are all crucial qualities needed to work at Apple as a Software Engineer. The ideal candidate will also possess excellent communication and collaboration skills to work with various members of their immediate and extended team.
Minimum Qualifications
3 years proven experience developing software in a professional capacity. 3 years proven experience implementing cloud-based distributed systems, including familiarity with API implementation (e.g. REST, RPC, GraphQL, etc). 3 years proven experience using relational (e.g. Postgres, MySQL, etc.) and NoSQL (e.g. Cassandra, MongoDB, etc) databases. 3 years proven experience with Java OR Kotlin 3 years proven experience OOP principles, data structures, algorithms, and software design patterns (e.g. GoF), with a focus on implementing testable, maintainable, and extensible backend code. 3 years proven experience in least one modern frontend stack (such as React/Next.js) coupled with LLM feature development, utilizing the top 3 ecosystem languages: TypeScript, Python, and JavaScript. B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
Preferred Qualifications
Exposure to using CI/CD tools to build, test, deploy, and release containerized software applications on cloud-based Kubernetes (e.g. AWS EKS, GCP GKE, Azure AKS, etc). Familiarity with Java web (e.g. ServiceTalk, Spring, Dropwizard, Quarkus, Micronaut, etc.) and unit testing frameworks (e.g. JUnit, Mockito, etc). Familiarity with tooling languages (e.g. Go, Python, Ruby, etc.) and distributed orchestration & computing systems (e.g. Airflow, Spark, Flink, etc). Basic understanding of JVM internals (e.g. garbage collection, memory allocation, JIT, JNI, etc). Basic knowledge of networking concepts & protocols (e.g. HTTP/HTTPS, CDN, edge computing, load balancing, OSI model, etc).