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Apple

Tech Lead - Cloud Engineering - Storage

🌎

Dublin, County Dublin, Ireland

14h ago
πŸ‘€ 1 views
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Job Description

Description

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: Manage and organize the Ireland team and align objectives and deliverables with the team in Cupertino. Design, implement, and debug core storage infrastructure. Write and review code, generate and review design documentation Participate in qualifications and rollouts of software to production clusters Participate in local business-hours rotation where engineers respond to platform issues for same-day resolution 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

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)

Key Qualifications

Key Qualifications

Preferred Qualifications

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)

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

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