Software Development Engineer

Apple•Cupertino, CA

5d•Onsite

About The Position

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design, develop, and test secure and scalable back-end systems, including REST Services and big data pipelines that deliver key business data to ad servers and event processing teams. Utilize distributed systems such as Cassandra, Solr, Spark, Kafka and Hadoop to achieve the high scale requested out of the system. Utilize relational database experience in Oracle, PostgresSQL, MySQL and demonstrated knowledge of structured query language (SQL) and data modeling to achieve data persistence. Design and implement high throughput, low latency representational state transfer (RESTful) application programming interfaces (APIs) to expose business rules in a system consumable fashion by internal and external consumers of the data. Develop server-side Java programming and multithreaded applications to build performant REST services and big data jobs that are easy to manage and scale. Architect, develop and deploy large scale, distributed and mission critical services. Build and maintain interfaces used by both internal systems and thousands of developers and advertisers world-wide to achieve the business objectives. Work on high-performing, elegant systems from the ground up, in close partnerships with various internal teams to enable smooth collaboration across internal teams.

Requirements

Utilizing Java to convert business logic into executable code.
Utilizing REST to expose business logic via a REST API interface understanding the various HTTP concepts and how they apply to REST.
Utilizing SQL and database technologies like Oracle, PostgresSQL, MySQL to create data models and model business roles as integrity constraints in the database, and using advanced techniques like indexing to achieve required performance.
Utilizing Kafka to build event driven and decoupled systems.
Utilize kafka knowledge in writing producers and consumers using Kafka client libraries to build these event driven systems.
Utilizing Cassandra to fulfil high-throughput use-cases that can adhere to key-value data model and query pattern.
Working on distributed computing to build resilient, scalable system and avoid single-points-of-failure.
Utilizing Spring to build components with design patterns like dependency injection and inversion of control to build systems.
Utilizing Spock, Groovy and Junit based framework to create test scenarios to validate the functionality being developed.
Utilizing Jenkins and Spinnaker build and deployment pipelines to perform continuous integration and deployment of the code changes made.
Utilizing Datadog, Splunk and Mosaic alerting, monitoring mechanism to build observability metrics across various deployment environments including production to effectively track and handle customer issues.

Nice To Haves

Utilize distributed systems such as Cassandra, Solr, Spark, Kafka and Hadoop to achieve the high scale requested out of the system.
Utilize relational database experience in Oracle, PostgresSQL, MySQL and demonstrated knowledge of structured query language (SQL) and data modeling to achieve data persistence.
Design and implement high throughput, low latency representational state transfer (RESTful) application programming interfaces (APIs) to expose business rules in a system consumable fashion by internal and external consumers of the data.
Develop server-side Java programming and multithreaded applications to build performant REST services and big data jobs that are easy to manage and scale.
Architect, develop and deploy large scale, distributed and mission critical services.
Build and maintain interfaces used by both internal systems and thousands of developers and advertisers world-wide to achieve the business objectives.
Work on high-performing, elegant systems from the ground up, in close partnerships with various internal teams to enable smooth collaboration across internal teams.

Responsibilities

Design, develop, and test secure and scalable back-end systems, including REST Services and big data pipelines that deliver key business data to ad servers and event processing teams.
Utilize distributed systems such as Cassandra, Solr, Spark, Kafka and Hadoop to achieve the high scale requested out of the system.
Utilize relational database experience in Oracle, PostgresSQL, MySQL and demonstrated knowledge of structured query language (SQL) and data modeling to achieve data persistence.
Design and implement high throughput, low latency representational state transfer (RESTful) application programming interfaces (APIs) to expose business rules in a system consumable fashion by internal and external consumers of the data.
Develop server-side Java programming and multithreaded applications to build performant REST services and big data jobs that are easy to manage and scale.
Architect, develop and deploy large scale, distributed and mission critical services.
Build and maintain interfaces used by both internal systems and thousands of developers and advertisers world-wide to achieve the business objectives.
Work on high-performing, elegant systems from the ground up, in close partnerships with various internal teams to enable smooth collaboration across internal teams.