For people in the
Network Engineering space, here is a quick rundown of how to break into FAANG roles which are basically hybrid software/network engineering roles. If you can build
BOTH skills, you will be unstoppable out here. You can bridge into software engineering or move into building massive hyper-scale datacenters around the world.
Pay close attention to the notes of being able to articulate every design decision.
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๐ข๐ก๐๐๐ก๐ ๐๐ฆ๐ฆ๐๐ฆ๐ฆ๐ ๐๐ก๐ง (๐๐๐ ๐ง๐ฐ๐ณ๐ฎ๐ข๐ต) - code snippets and logic questions

๐ฃ๐๐๐ฆ๐ ๐ญ
๐๐๐๐๐๐๐๐๐ 1 - ๐๐ฐ๐ฅ๐ช๐ฏ๐จ
โ Array manipulation problem - find pairs that sum to target value
โ Binary tree post-order traversal - both recursive and iterative
โ Time and space complexity analysis
๐๐๐๐๐๐๐๐๐ 2 - ๐๐ฆ๐ต๐ธ๐ฐ๐ณ๐ฌ๐ช๐ฏ๐จ
โ Layer 2 vs Layer 3 switches
โ TCP vs UDP deep dive
โ VLAN configuration and trunking protocols
โ Spanning Tree Protocol - loop prevention
โ Troubleshooting: "Users on VLAN 10 can't reach VLAN 20"
โ ARP process step-by-step
โ DHCP DORA process
โ BGP vs OSPF for datacenters
โ IPv4 exhaustion solutions
โ Packet walk through multi-VLAN network

๐๐จ๐๐ ๐๐ข๐ข๐ฃ - ๐ฑ ๐ฅ๐ข๐จ๐ก๐๐ฆ
๐๐๐๐๐ 1 - ๐๐ฐ๐ฅ๐ช๐ฏ๐จ
โ Heap-based problem - find k largest elements in stream
๐๐๐๐๐ 2 - ๐๐ฆ๐ต๐ธ๐ฐ๐ณ๐ฌ๐ช๐ฏ๐จ ๐๐ฆ๐ฆ๐ฑ ๐๐ช๐ท๐ฆ
โ TCP slow start vs congestion avoidance algorithms
โ BGP route reflectors and confederation
โ DNS cache poisoning and DNSSEC
โ DHCP snooping and rogue DHCP prevention
โ IPv6 transition: dual-stack vs tunneling vs translation
โ Wireshark packet analysis - identify the issue from capture
๐๐๐๐๐ 3 - ๐๐บ๐ด๐ต๐ฆ๐ฎ๐ด/๐๐ช๐ฏ๐ถ๐น
โ What is a zombie process and how do you kill it?
โ Virtual memory vs physical memory management
โ Debug high CPU usage using top, htop, strace
โ Kernel vs user space networking
โ iptables rules for traffic filtering
โ systemd vs init.d
๐๐๐๐๐ 4 - ๐๐บ๐ด๐ต๐ฆ๐ฎ ๐๐ฆ๐ด๐ช๐จ๐ฏ/๐๐ณ๐ค๐ฉ๐ช๐ต๐ฆ๐ค๐ต๐ถ๐ณ๐ฆ
"Design Meta's global CDN network."
โ Requirements: 3 billion users, <100ms latency
โ Network design: BGP anycast vs GeoDNS tradeoffs
โ Edge PoP placement strategy - pros/cons
โ Peering vs transit decisions
โ Load balancing: L4 vs L7 - when to use which
โ System aspects: Caching layers, storage tiers
โ Had to explain every tradeoff - cost vs performance vs complexity
๐๐ฒ๐ ๐ง๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐๐:
โ LeetCode ๐ฏ๐จ๐น๐ซ for network engineers - ๐บ๐ฆ๐ด, ๐ณ๐ฆ๐ข๐ญ๐ญ๐บ!
โ System design is 60% networking, 40% systems - know both
โ Must articulate pros/cons for ๐๐๐๐๐ design decision
โ Linux systems knowledge non-negotiable