Meta Production Engineer Roadmap
Complete roadmap for Meta's Production Engineering role. Covers systems coding, system design, OS internals, networking, and Meta's unique PE culture.
Systems Coding (Python/C++)
Not LeetCode — systems-flavored coding
What to learn
- File I/O, process management, signal handling in code
- Socket programming — TCP client/server
- Parsing log files and structured data at scale
- Implementing system utilities (find, grep, top)
- Threading and concurrency patterns
- LeetCode easy-medium with systems twist (not pure algorithms)
Key tools
Linux Internals
PE interviews go deep on OS knowledge
What to learn
- Boot sequence — firmware → bootloader → kernel → init
- Process lifecycle — states, scheduling, context switching
- Memory — virtual memory, page faults, OOM killer, cgroups
- Storage — block devices, file systems, RAID, LVM
- Signals — SIGTERM vs SIGKILL, signal handling
- Performance tools — top, vmstat, iostat, sar, perf
Key tools
Networking
L2 through L7 — Meta operates massive networks
What to learn
- TCP/IP stack — every layer in detail
- DNS — recursive resolution, TTL, failover
- HTTP/1.1 vs HTTP/2 vs HTTP/3
- TLS handshake and certificate chains
- Load balancing — L4 (IPVS) vs L7 (proxies)
- BGP basics — how Meta routes traffic globally
- Network debugging — packet captures, latency analysis
Key tools
System Design
Design for Meta-scale (billions of users)
What to learn
- Design a news feed system (Facebook's core product)
- Design a messaging system (WhatsApp/Messenger scale)
- Design a content delivery network
- Design a monitoring and alerting system
- Capacity estimation — QPS, storage, bandwidth
- Tradeoffs — consistency vs availability vs partition tolerance
- Caching at scale — Memcached, TAO (Meta's graph cache)
Key tools
Troubleshooting & Debugging
Meta PEs debug production issues daily
What to learn
- Web request lifecycle — DNS → TCP → TLS → HTTP → App
- Diagnosing slow endpoints — is it CPU, memory, disk, network?
- Database performance — slow queries, connection pools, locks
- Container/service debugging — logs, metrics, traces
- Incident response — triage, mitigate, root cause, prevention
- Real-time troubleshooting scenarios (interview format)
Key tools
Meta Culture & Behavioral
Move Fast — Meta's engineering culture
What to learn
- Meta's core values — Move Fast, Be Bold, Be Open, Build Social Value
- PE vs SRE vs DevOps — understand the PE role specifically
- Infrastructure at Meta — Chef, Tupperware (container orchestration)
- How Meta handles deployments at scale
- Behavioral prep — STAR format, impact-driven answers
- Talk about past incidents and what you learned
Key tools
Interview Prep
DevOps Interview Prep Bundle — 1000+ Q&A
Every topic on this roadmap has interview questions in the bundle — Docker, Kubernetes, AWS, CI/CD, Linux, SRE, FinOps, System Design. Grab it before your next interview.
Frequently Asked Questions
Common questions about the Meta Production Engineer roadmap