Do you love crafting elegant solutions to highly complex challenges? Can you intrinsically see the importance of every detail? At Apple, our compute team is responsible for designing and building the foundational pieces of our data center software. In this role, you will collaborate with engineers across Apple to build and deploy forward-looking high-performance batch cloud systems that support Apple’s research and development. To better support Apple’s operations in Europe and Israel, the team is looking to expand engineering and support in the EMEIA region. The tech lead will be responsible for a cross-functional engineering team in EMEIA that will work together with the US team to develop features across the stack. The EMEIA team (like the one in Cupertino) will also engage with platform customers and will support platform issues in the local timezone.
Description
The compute organization runs a multi-region, large-scale, in-house-developed, batch platform that empowers Apple’s R&D around the world. To keep supporting its scale and growing user base, the compute organization is starting a new engineering team in EMEIA that will work on the platform while being closer (in space and time) to some of its customers. In this role, you will:
1. Manage and organize the Ireland team and align objectives and deliverables with the team in Cupertino.
2. Design, implement, and debug core storage infrastructure.
3. Write and review code, generate and review design documentation.
4. Participate in qualifications and rollouts of software to production clusters.
5. Participate in local business-hours rotation where engineers respond to platform issues for same-day resolution.
6. Work with a wide range of software and hardware engineering teams across Apple to support their workflows or integrate their technology into our platform.
Minimum Qualifications
* Experience leading an engineering team.
* Excellent written and oral communication skills.
* Experience with distributed storage systems (Ceph, ScaleIO, etc) and developing virtual storage integrations (Kubernetes CSIs, OpenStack).
* MS in Computer Science or related field (or equivalent work experience).
Preferred Qualifications
* Experience developing and managing a large-scale production system.
* Customer-focused thinking and strong problem solver with attention to detail.
* Experience with measuring, analyzing, and optimizing performance.
* Fluency in Golang, Python, or similar languages in a systems or distributed systems context.
* Strong understanding of concurrency, parallelism, and distributed systems concepts.
* Knowledge of operating system fundamentals and experience in systems programming.
* Experience with large scale server provisioning and maintenance.
* Prior experience of working with diverse hardware, operating systems, container runtimes (lxc, docker, containerd) and virtualization stacks (Qemu, KVM, Libvirt on x86, ARM).
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