Job Overview:
As a Framework Software Engineer at Apple’s Global Business Intelligence team, you will build tools and features for Data and ML platforms, including data processing, insights portals, observability, lineage, model hubs, and visualization. This role involves creating custom solutions from scratch or adapting open-source products to meet Apple’s needs, requiring expertise in Java/Python, microservices, SQL/NoSQL, and cloud-native applications. You’ll collaborate across teams to develop innovative frameworks that enhance 3rd-party BI tools via APIs, ensuring high-quality software under tight deadlines. The ideal candidate thrives on challenges, offers imaginative solutions, and has strong communication skills.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
To tailor your resume for this role, emphasize your hands-on experience with Java and Python, particularly in building scalable microservices and REST APIs. Highlight projects where you worked with SQL/NoSQL databases and cloud-native applications, as these are critical for the position. If you have experience with big data technologies like Hadoop or Spark, make sure to detail your contributions and the impact of your work. Don’t forget to mention any AI/ML or BI platform experience, even if it’s peripheral, as these are strong pluses. Use quantifiable achievements, such as improving system performance by X% or reducing latency by Y milliseconds, to demonstrate your technical prowess. Your resume should also reflect your ability to work in collaborative environments and under tight deadlines, as these soft skills are just as important for Apple’s fast-paced culture.
During the interview, expect deep technical questions on Java/Python, microservices, and data platforms. Be prepared to discuss real-world scenarios where you designed scalable solutions or optimized existing systems. The interviewer will likely probe your problem-solving approach, so practice articulating how you tackle complex challenges with imaginative solutions. Since teamwork is crucial, be ready to share examples of cross-functional collaboration and how you handled tight deadlines. If you have AI/ML or BI experience, anticipate questions on how you integrated these into data platforms. Dress professionally but comfortably, as Apple values creativity and practicality. Finally, research Apple’s data ecosystem and recent projects to show your enthusiasm for the role and the company’s mission.