In 2026 strong candidates lead with graph storage and second-degree traversal, decide what to precompute offline versus serve online, and handle write-heavy event streams like profile views. Interviewers probe how you rank and dedupe heterogeneous content and how you keep latency low while the graph grows. Vague 'use a graph database and it scales' answers get taken apart in the follow-ups.
About LinkedIn
LinkedIn India (Bengaluru) is a Tier-1 Microsoft subsidiary engineering hub covering feed ranking, AI recommendations, Sales Navigator infrastructure, and identity systems. The campus contributes directly to LinkedIn's global product.
- Products
- LinkedIn Feed and Notifications · Sales Navigator (CRM intelligence) · LinkedIn Learning · LinkedIn Jobs and Recruiter · LinkedIn Marketing Solutions · LinkedIn Premium
- Competitors
- Naukri (Info Edge) · Indeed India · Glassdoor · Handshake (campus) · AngelList / Wellfound
- Scale
- ~3,000 employees in India (Bengaluru). Microsoft subsidiary since 2016 (acquired for $26B). LinkedIn India operates as Microsoft-tier GCC.
LinkedIn recruitment process
01
Recruiter screen and coding phone screen
02
Onsite coding rounds on DSA
03
System-design round on a graph or feed problem
04
Hiring-manager and values round, then offer
What to expect in each round
01
Round 1 (45 min)
coding phone screen on data structures and algorithms.
02
Round 2-3 (45 min each)
onsite coding rounds.
03
Round 4 (45-60 min)
system-design round on graph or feed problems.
04
Round 5 (45 min)
hiring-manager round on ownership and collaboration.
System Design questions LinkedIn asked
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
- 01
Hard
Design a system to predict same-day delivery feasibility for a new pincode in tier-3 India.
Practice free → - 02
Hard
We're seeing UPI failure rates spike at 9pm on weekends. How would you debug, and what's your hypothesis?
Practice free → - 03
Hard
Walk me through how you'd build idempotency into a payment retry system. What happens if the network drops mid-callback?
Practice free → - 04
Hard
Design Swiggy Genie's matching algorithm. How does it differ from food-order matching?
Practice free → - 05
Hard
Walk me through how you'd architect transaction-level fraud detection for 100M daily UPI transactions.
Practice free → - 06
Medium
How would you build a recommendation engine that suggests bills the user is about to forget?
Practice free → - 07
Medium
Design a cashback-allocation system that prevents abuse without alienating genuine users.
Practice free → - 08
Hard
Design a system to detect duplicate documents at web scale. What's your approximation strategy?
Practice free → - 09
Hard
Design Amazon Prime's recommendation engine. How would you handle the cold-start for a new Prime member?
Practice free → - 10
Medium
Design a URL shortener like bit.ly. Walk me through database choice and scaling.
Practice free → - 11
Hard
Design Instagram's news feed ranking. How do you handle a celebrity who posts 50 times an hour?
Practice free → - 12
Hard
Design Amazon's order tracking notification system. Optimise for cost at 100M orders/day.
Practice free →