Job Overview:
The Senior Backend Software Engineer in the Measurement organization at Apple will design and implement platforms to enable on-device and device/server side combined ML workflows, collaborating with data scientists and OS engineers to build scalable systems processing billions of events daily. Responsibilities include setting technical direction, driving engineering quality, and mentoring junior engineers, requiring expertise in scalable micro-services, online Experimentation systems, and cross-functional collaboration. The role demands a strong background in Java/Python, Kubernetes/Kafka, and SQL/NoSQL databases, with a preference for experience in Machine Learning platforms and UI frameworks like React or Angular.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for this position, emphasize your experience in building scalable micro-services and online Experimentation systems, as these are core requirements. Highlight specific projects where you designed or optimized systems handling large-scale data, mentioning technologies like Kubernetes, Kafka, and SQL/NoSQL databases. Quantify your impact where possible, such as improving system performance or reducing latency. If you have experience mentoring junior engineers or leading technical best practices, include this prominently, as leadership is a key aspect of the role. Don’t forget to mention any exposure to Machine Learning platforms or UI frameworks, even if it’s a plus, as it could set you apart from other candidates. Use clear, concise language and focus on outcomes rather than just responsibilities.
During the interview, expect deep technical questions about scalable micro-services and online Experimentation systems. Be prepared to discuss your approach to designing systems that handle billions of events, including challenges you faced and how you resolved them. The interviewer will likely assess your problem-solving skills and ability to collaborate cross-functionally, so have examples ready of working with data scientists or OS engineers. Practice explaining complex technical concepts in simple terms, as communication is crucial for mentorship and leadership roles. Additionally, review your experience with Kubernetes, Kafka, and databases, as these are likely to come up. Finally, be ready to discuss your vision for platform roadmaps and how you’ve driven engineering quality in past roles. Dress professionally but comfortably, as the focus will be on your technical expertise and leadership qualities.