Engineering Manager, CloudKit Infrastructure - iCloud - Jobs - Careers at Apple
- Technical Excellence: Guide complex architectural decisions and contribute to hands-on development to maintain CloudKit’s reputation for data availability and scalability.
- Engineering Culture: Oversee development velocity, code quality, testing practices, and release processes to ensure consistent delivery of high-quality software.
- Operational Oversight: Support the availability, durability, and performance of production systems operating at scale.
- Strategic Leadership: Define and execute the technical and infrastructure roadmap for CloudKit in collaboration with key partners.
- Team Management: Build, mentor, and lead a high-performing engineering team focused on distributed databases, job frameworks, and cloud-native infrastructure.
- Collaboration: Partner with cross-functional teams, including site reliability engineering (SRE) and solutions engineering to ensure efficient and seamless integration of data-critical subsystems.
- 5+ years of proven experience in software engineering with 3+ years in engineering leadership roles.
- Experience building and operating large-scale, multi-tenant distributed systems.
- Demonstrated ability to manage multiple complex priorities in a fast-paced collaborative environment.
- Passion for building strong engineering cultures rooted in transparency, mentorship, and technical rigor.
- Excellent communication skills and ability to work across organizational boundaries.
- Experience operating in large, complex organizations with high standards for quality and reliability.
- Bachelor's degree in Computer Science, Software Engineering, or an equivalent discipline.
- Strong background in Java, C, C++, and programming in concurrent / multi-threaded environments.
- Strong background in NoSQL and key-value (KV) database technologies, e.g., FoundationDB, DynamoDB, or Cassandra.
- Expertise in synchronous and asynchronous network application I/O frameworks, e.g., Netty and gRPC.
- Strong fundamentals in relational storage systems, e.g., schema design, indexes, and transactions.
- Familiarity with orchestration and durable scheduling frameworks, e.g., Temporal.
- Familiarity with event streaming and queueing systems, e.g., Kafka.
- Experience using AWS, GCP, and cloud-native technologies, e.g., Docker and Kubernetes.
- Familiarity with identity, authentication, and authorization systems at scale.
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🇬🇧 English