Software Engineer (Data), Ai & Data Platforms

Software Engineer (Data), Ai & Data Platforms

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

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 expert Software Engineer to build high-quality, scalable, and resilient distributed systems that power Apple's cloud analytics platforms and data pipelines. Apple's Enterprise Data Warehouse landscape caters to a wide variety of real-time, near real-time, and batch analytical solutions. These solutions are an integral part of business functions like Sales, Operations, Finance, AppleCare, Marketing, and Internet Services, enabling business drivers to make critical decisions.

We use proprietary and open-source technologies, including Kafka, Spark, Iceberg, Airflow, and Presto. If you are looking to tackle infrastructure problems at scale, both on-prem or in the cloud, focusing on ease of use, ease of maintenance, and most importantly, implementing solutions that are scalable, you will have fun in AiDP!

If you enjoy learning new technologies, solving challenges with little mentorship, and are comfortable proposing and implementing solutions while demonstrating Software Engineering standard methodologies, you will find it exciting to work in AiDP! The ideal candidate for this position will be able to think outside the box and should have a passion for building engineering solutions to enable businesses in making time-sensitive and critical decisions.

Description

We engineer high-quality, scalable, and resilient distributed systems on the cloud that power data exploration, analytics, reporting, and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.

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. You will work closely with internal customers to understand their requirements and workflows and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.

This is a hard-core software engineering role, where a large part of an engineer's time is spent writing code and designing/developing applications on the cloud, with the remainder being spent on tuning and debugging the codebase, supporting production applications, and assisting our application end users. This role requires in-depth knowledge of cutting-edge technologies and cloud data platforms with an aptitude to independently learn new technologies and contribute to the success of various initiatives.

We are looking for a hardworking and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.

Minimum Qualifications

• 3 or more years of experience developing enterprise-level applications
• Implementation experience on Cloud with databases like SnowFlake, Big Query, or Cloudera
• Programming experience with Python, Scala, or Java
• Experience in developing with SQL
• Degree or equivalent experience

Preferred Qualifications

• Experience with large-scale distributed systems
• Knowledge of BI concepts
• Experience with procedures & semantic processes for distributed data applications
• 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 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, 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, Google Cloud
• Data Visualization Tools: Proficient in data visualization, with experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
• Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI