Summary People at Apple don't just build products — we craft the kind of experiences which have revolutionized entire industries.
Our diverse team, and their ideas, inspire innovation in everything we do.
Imagine what you could do hereDescription Apple Services Engineering (ASE) builds and provides the systems and infrastructure that enable Apple's services at massive scale — such as i Cloud, Apple TV, Music and App Store.
We are the foundation on which Apple's software developers build the services our customers love.
The ASE Quality of Service team are looking for a passionate and talented engineer to help deliver Apple customers the best quality of service for the App Store, Apple Music, Apple TV and more.
Our services must scale globally, be highly available, performant, and simply 'just work'.
If you love running, monitoring and improving systems that delight millions of customers, then this is the place for you.
Responsibilities Build applications and real-time dashboards to monitor the quality of Apple Services Design, build and operate tools and processes to detect, react to, and mitigate production issues affecting Apple Services Execute incident command and coordination across ASE teams Independently network to influence and collaborate with technical and non-technical teams Create and deliver presentations across teams, partners and to senior leadership Rotating on-call shifts (including periodic weekends)Minimum Qualifications Experience with distributed systems and delivering internet services at scale Programming via agile/best practice methodologies, in languages such as Golang, Java, Java Script, Python, Swift etc Experience with monitoring technologies such as Grafana, Prometheus, Splunk etc Familiarity with containerisation, orchestration and deployment technologies like Docker, Kubernetes, Helm, etc Knowledge of core internet protocols/platforms such as CDN, DNS, HTTP, SSL, TCP, etc Proven ability to self-start, learn, plan, prioritize, share knowledge and deliver to deadlines Demonstrated ability to create solutions which are maintainable, understandable and diagnosable Preferred Qualifications Experience implementing AI solutions, with a solid grasp of agent-based systems and Multi-Component Platforms (MCPs)Bachelor's degree in Computer Science or related field In-depth industry experience
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