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, Kafka, Spark, Iceberg, Airflow, Presto, etc. If you are looking to tackle infrastructure problems at scale, both on-prem or in cloud, focusing on ease of use, ease of maintenance and most importantly implement 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, 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 of the box and should have passion for building engineering solutions to enable business in making time sensitive and critical decisions.
We engineer high-quality, scalable and resilient distributed systems on 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 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 in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of cutting-edge technologies and cloud data platform 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.
- 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
- Experience with large-scale distributed systems
- Knowledge of BI concepts
- Experience with procedures & semantic process for distributed data applications.
- Strong hands-on experience in designing and development of 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.