#200540110
form. We are looking for someone who is passionate about creating high-performing, scalable, well-designed back-end systems that are the foundation for critical internal and customer-facing platforms at Apple. The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here.
Description
As a Senior Software Engineer on our team, you'll be instrumental in crafting the future of Apple's advertising platforms. You'll work on highly scalable, low-latency systems that power billions of ad impressions daily. You'll collaborate with world-class engineers to solve complex technical challenges and drive innovation. If you're passionate about building innovative products and shaping the future of advertising, we invite you to join our team! Responsibilities: - Provide Technical Leadership: Mentor and guide a team of engineers, fostering a culture of innovation and excellence. - System Design and Architecture: Design, develop, and optimize highly scalable, distributed systems. Leverage cloud-native technologies and microservices architecture to build robust and resilient solutions. - Data Engineering and ML: Build efficient data pipelines and apply machine learning techniques to enhance ad targeting and measurement. - Problem-Solving and Innovation: Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. - Collaboration: Work closely with product managers, architects, and other engineers to deliver high-quality solutions.
Minimum Qualifications
8+ years of software engineering experience, with a focus on distributed systems, cloud technologies, and microservices architecture
Strong proficiency in Java, Scala, or C++
Deep understanding of cloud platforms (AWS, GCP, Azure)
Expertise in DevOps technologies (Docker, Kubernetes)
Proficiency in database technologies (SQL, NoSQL)
Bachelor's / Master's degree in Computer Science or equivalent
Preferred Qualifications