Software Engineer (Data) - Ad Delivery

## About the Role Apple is hiring a Software Engineer (Data) for its Ad Delivery organization in Hyderabad. The role focuses on building large-scale data and ad-delivery systems that process high-volume workloads with strong requirements around scalability, reliability, and performance. Apple Ads technology supports advertising experiences across Apple services while maintaining a strong focus on privacy and quality. ## Responsibilities - Design, develop, and maintain large-scale data and ad-delivery systems. - Build high-throughput data pipelines and real-time data processing solutions. - Develop scalable distributed services using Java, Scala, or similar technologies. - Work with technologies such as Spark, Kafka, Hadoop, and cloud infrastructure. - Design systems capable of processing large volumes of data with low latency. - Develop and optimize microservices and distributed applications. - Collaborate with engineers, data scientists, and product teams to deliver reliable advertising technology. - Troubleshoot complex production issues and improve system performance, scalability, and reliability. - Participate in architecture and technical design discussions. ## Requirements - 7+ years of software engineering experience. - Strong programming experience in Java, Scala, or Python. - Strong understanding of data structures, algorithms, and distributed systems. - Experience building large-scale data processing or data engineering systems. - Hands-on experience with Apache Spark/Spark Streaming, Kafka, Hadoop, or similar technologies. - Strong SQL and database fundamentals, including experience with NoSQL systems. - Experience developing scalable microservices and backend systems. - Strong understanding of performance, reliability, and scalability engineering. - Experience working in Linux-based development environments. ## Nice to Have - Experience with AWS or other cloud platforms. - Kubernetes and Docker experience. - Experience with real-time advertising, recommendation, bidding, or personalization systems. - Experience with high-throughput, low-latency distributed systems. - Experience with privacy-sensitive data platforms. - Strong background in system architecture and technical leadership.