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Sr. Software Engineer, Infrastructure Services (Data Plane)

Apple
California, USA
Full-time
Senior · 8+ years experience
Onsite
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C++GoCJavaPythonGit
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Description

We are looking for passionate engineers who love building super-scalable, reliable, and high-performance systems to support one of the world’s largest cloud infrastructures. In this role, you will design, build, and operate next-generation services that power virtualized networks, computing, and storage. Operating at our global scale presents unique challenges that demand radical engineering innovations.

If you are excited about working close to the packet, optimizing line-rate forwarding pipelines from scratch, and solving complex distributed systems problems, our team is the place for you.

Minimum Qualifications

  • Strong proficiency in systems programming languages such as C++, Go, or C (experience with Java or modern scripting languages like Python is also valued).
  • Solid foundation in Computer Science fundamentals: advanced data structures, algorithms, memory management, and concurrency.
  • Deep knowledge of Networking Fundamentals & Dataplane internals: L2–L4 protocols, TCP/IP stack behavior, packet framing/encapsulation, routing, MTU/MSS, flow tables, and QoS/traffic shaping.
  • Experience with source control (Git) and modern build/configuration management tools.
  • Experience designing and optimizing scalable network data plane components, packet forwarding paths, or kernel/userspace networking subsystems.
  • Understanding of microservice architectures, asynchronous communication, and API design (REST, gRPC, Protobuf).
  • Proven ability to analyze and debug complex live production incidents under pressure using metrics, traces, and system logs.
  • Strong communication and cross-functional collaboration skills with the drive to take ownership and lead projects to closure.

Preferred Qualifications

  • 8+ years experience with kernel-bypass/accelerated packet processing technologies (e.g., DPDK, XDP, eBPF, VPP, OVS or P4).
  • BS or MS in Computer Science or equivalent experience.
  • Familiarity with hardware offload architectures (SmartNICs, ASICs) and network virtualization.
  • Hands-on experience developing large-scale distributed cloud infrastructure services.

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