**Job Title:** Software Engineer (Data), AI & Data Platforms
We engineer high-quality, scalable, and resilient distributed systems on cloud that power data exploration, analytics, 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.
This role 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 challenging 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.
Key Responsibilities
* Design, develop, and deploy high-quality software components and features on cloud-based distributed systems.
* Collaborate with internal customers to understand their requirements and propose new features and ecosystem changes to improve their experience.
* Work with cross-functional teams to ensure seamless integration with other systems and services.
* Tune and debug codebase to ensure optimal performance and scalability.
* Support production applications and end users to ensure smooth operation.
Requirements
Minimum Qualifications
* Experience building enterprise-level data applications on distributed systems.
* Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query.
* Programming experience in building high-quality software with at least one of the following programming languages - Python, Scala, or Java.
* Experience in developing highly optimized SQLs, procedures, and semantic processes for distributed data applications.
* Familiarity with foundational concepts in Generative AI (e.g., Large Language Models, prompt engineering).
* Bachelor's degree in Computer Science or equivalent experience.
Preferred Qualifications
* Hands-on experience in designing and developing cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues, and notification services.
* Experience in cloud data warehousing platforms like Snowflake is highly valued.
* Experience developing Big Data applications using Java, Spark, Kafka is a huge plus.
* Data Visualization Tools: 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 GenIA, basic ML models in the area of anomaly detection, forecasting.
About Us
We are Apple Inc., a leading technology company dedicated to innovation and excellence. We strive to create products and services that empower individuals and organizations to achieve their full potential.
We offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our employees are passionate about making a difference and are committed to delivering exceptional results.
We are proud to be an equal opportunities employer and welcome applications from talented individuals from all backgrounds.