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Software Engineer - Object Storage,

Apple
England, GBR
Onsite
Discovered 1 weeks ago
Backend software engineeringObject storage systemsDistributed systemsNetworkingFilesystemsSecurity concepts
Free

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Backend software engineeringObject storage systemsDistributed systems
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Role Overview

Apple is hiring a software engineer for its Cloud Object Store team, a storage platform used by hundreds of internal services at exabyte scale.

The role involves leading complex, ambiguous technical problems and shaping the direction of a large-scale distributed storage platform.

Key focus areas include multi-tenant isolation and fairness, availability and durability, performance and efficiency, and architectural evolution.

Responsibilities

  • Identify, scope, and lead major projects affecting storage-platform reliability, performance, scalability, and maintainability.
  • Drive architecture and design decisions, including approaches to rate limiting and quota enforcement.
  • Represent technical direction in cross-team design reviews and roadmap discussions.
  • Build consensus across teams and turn ambiguous problems into concrete, sequenced plans.
  • Mentor engineers and improve testing, observability, and operational readiness.
  • Take ownership of new storage-platform problem areas as priorities change.

Minimum Qualifications

  • In-depth backend software engineering experience with strong fundamentals in networking, filesystems, and security concepts.
  • Experience designing, building, and operating large-scale distributed systems.
  • Strong understanding of availability, congestion control, observability, and fault tolerance.
  • Experience driving complex, ambiguous technical projects end to end and collaborating across teams.
  • Experience with at least one of multi-tenant resource isolation, rate limiting, quota systems, large-scale storage systems, or distributed-systems performance and reliability work.

Preferred Qualifications

  • Experience with flow control, overload protection, or admission-control systems such as adaptive throttling, load shedding, or backpressure.
  • Experience with object storage systems or similar backend storage engines.
  • Experience building observability or telemetry that explains complex system behavior to engineers or customers.
  • Familiarity with distributed state-propagation protocols such as gossip protocols.
  • Familiarity with modern data lake architectures and query engines.

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