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Platform & Data Engineer

Cupertino

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What you’ll work on

Full posting
  • Operate and keep healthy the Kubernetes compute platform internal tools run on

  • Own the data layer that makes internal tools useful

  • Build products and interfaces that let other engineering teams move faster

From the employer’s posting
owning both the compute platform our internal tools run on
owning both the compute platform our internal tools run on and the data layer that makes them useful
you will build the products and interfaces that let other teams move faster

Tools in this posting

  • Kubernetes
Source — Tool mentions in context
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We are looking for a Platform & Data Engineer to own the systems that thousands of internal engineers rely on every day. This is a rare, broad role: you will operate at the intersection of Kubernetes platform engineering and large-scale data engineering, owning both the compute platform our internal tools run on and the data layer that makes them useful. You will not just keep these systems healthy — you will build the products and interfaces that let other teams move faster. If you are excited by ambiguity, take real ownership, and want your work to be felt across the company, we'd love to talk.

Posting record

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Status in our records
Live
First seen by us
Oct 12, 2026 · 6d ago
Recorded sightings
37
Last seen by us
Oct 17, 2026

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Job description

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Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We are looking for a Platform & Data Engineer to own the systems that thousands of internal engineers rely on every day. This is a rare, broad role: you will operate at the intersection of Kubernetes platform engineering and large-scale data engineering, owning both the compute platform our internal tools run on and the data layer that makes them useful. You will not just keep these systems healthy — you will build the products and interfaces that let other teams move faster. If you are excited by ambiguity, take real ownership, and want your work to be felt across the company, we'd love to talk.

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Source details

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Pay

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Location & working pattern

Cupertino

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