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Google Backend Engineer Pack

Concurrency, non-blocking I/O multiplexing, gRPC/Protobuf RPCs, distributed consensus, and planetary scale.

Google backend interviews test whether candidates understand computer systems from the socket up. Google interviewers probe deep into non-blocking I/O multiplexing, thread synchronization, memory cache lines, gRPC/Protobuf efficiency over HTTP/1.1 JSON, and distributed consensus (Paxos/Raft). This pack prepares you for Google's specific technical expectations.

Target AudienceEngineers interviewing for Google Software Engineer (SWE L4/L5) Backend, Systems, or Infrastructure roles.
Targeted Companies
GoogleAlphabetYouTubeGoogle Cloud
3-4 WeeksPlan Duration
2Curriculum Modules
11Curated Questions
4Milestones

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Structured Syllabus

Curriculum Modules (Preview Mode)

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01

Systems Concurrency, Sockets & Non-Blocking I/O

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epoll, socket descriptors, thread context switches, and CPU cache lines.

~8h
Target Competency & Objective:Answer Google's core systems questions on how the kernel multiplexes network sockets, manages thread pools, and minimizes CPU context switching.

Core Technical Concepts Tested

Linux epoll O(1) ready-list notifications vs select/poll O(N) linear scanningThread stack memory overhead (1-2MB/thread) vs event-driven fiber/coroutine modelsSocket buffers, TCP window sizing, and TCP_NODELAY (disabling Nagle's algorithm)CPU cache locality (L1/L2/L3) and avoiding false sharing in concurrent code
What Fails in Production (Triage Scenarios):
  • Thread starvation when blocking disk I/O or crypto operations exhaust worker pools
  • High p99 latency caused by TCP Nagle interacting with delayed acknowledgments
  • Socket descriptor exhaustion (EMFILE) crashing server processes during traffic spikes

Module Milestones (0 / 2)

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02

gRPC, Protobuf & High-Throughput RPC Contracts

Binary serialization, HTTP/2 stream multiplexing, and deadline propagation.

~8h

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Specific Pack Deliverables

  • Rigorous mastery of non-blocking I/O (epoll/kqueue) and socket multiplexing
  • Designing high-throughput gRPC and Protobuf internal service contracts
  • Distributed consensus fundamentals (Paxos, Raft, TrueTime, Spanner trade-offs)
  • High-concurrency systems coding: thread pools, locks, and atomic operations
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