Software Engineer (Data), Ai & Data Platforms

Software Engineer (Data), Ai & Data Platforms

At Apple, extraordinary ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Artificial Intelligence and Data Platforms (AiDP) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's cloud analytics platforms and data pipelines.

Our core systems cater to a wide variety of real-time, near real-time, and batch analytical solutions that are integral to business functions like Sales, Operations, Finance, AppleCare, Marketing, and Internet Services, enabling critical decision-making. We utilize proprietary and open source technologies such as Kafka, Spark, Iceberg, Airflow, and Presto.

Description

We engineer high-quality, scalable, and resilient distributed systems on cloud that power data exploration, analytics, reporting, and production models. On our team, you will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive the development of new components and features from concept to release: design, build, test, and ship at a regular cadence.

This role requires in-depth knowledge of innovative technologies and cloud data platforms, with the ability to learn new technologies independently and contribute to various initiatives. This is a hard-core software engineering role, where a large part of your time will be spent writing code and designing/developing applications on cloud, with the remainder spent on tuning and debugging the codebase, supporting production applications, and assisting our application end users.

Minimum Qualifications

• 3 or more years of experience building enterprise-level applications on large-scale distributed systems with a bachelor's degree in Computer Science or equivalent experience.
• Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, or Cloudera.
• Programming experience in building high-quality software. Proficiency in at least one of the following programming languages: Python, Scala, or Java.
• Strong hands-on experience in designing and developing cloud-based applications that include large scale compute services, database services, APIs to design RESTful services, ETL, queues, and notification services.
• Experience in developing highly optimized SQLs, procedures, and semantic processes for distributed data applications.

Preferred Qualifications

• Experience in enterprise-ready cloud data warehousing platforms like Snowflake is highly valued.
• Hands-on knowledge of Spark cluster-computing framework & Kubernetes or similar containerization technologies.
• Experience developing Big Data applications using Java, Spark, and Kafka is a huge plus.
• Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving.
• Cloud technology experience on platforms like AWS, Microsoft Azure, and Google Cloud.
• Proficient in data visualization tools, with experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker.
• Working experience on generating and visualizing data insights, metrics, and KPIs, including usage of basic ML models in the space of anomaly detection, forecasting, and GenAI.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.