Info Edge (Naukri.com, 99acres, Jeevansathi, Shiksha) is one of India's oldest internet companies and runs a structured, engineer-friendly hiring loop that has stayed consistent over many years.
The process is 4-5 rounds and covers DSA, object-oriented design, and a managerial discussion. Naukri's engineering challenges are search and matching at scale: resume-to-job matching, real-time search ranking, and recruiter-candidate graph traversal. Candidates who know how Naukri's core product works: what makes a search result rank, how recruiter views are tracked, how job alerts are generated: tend to perform better in the system design and product context questions.
About Naukri (Info Edge)
Naukri (Info Edge India) is India's #1 job portal with 100M+ registered candidates. Listed on NSE (NAUKRI). Also owns 99acres (real estate), Jeevansathi (matrimony), Shiksha (education), and has investments in Zomato, PB Fintech.
Apply via Naukri.com careers section or LinkedIn; employee referrals are common
Online coding assessment: 2-3 DSA problems in 60-90 minutes
Technical phone screen or video call with an engineer
On-site or virtual technical rounds: DSA problem-solving and low-level or high-level design
Managerial round and HR compensation discussion
Online Assessment (60-90 min)
2-3 DSA problems at easy to medium difficulty; arrays, strings, and trees are common.
Technical Round 1 (60 min)
DSA problem-solving with complexity analysis; interviewers probe edge cases and optimisation approaches.
Technical Round 2 (60 min)
object-oriented or low-level design problem; design a parking lot, elevator system, or job-alert notification engine.
System Design Round (60 min, SDE-2+)
design Naukri job search, resume matching pipeline, or recruiter notification system.
Managerial Round (45 min)
past project deep-dive, cross-team collaboration, and goal alignment discussion.
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
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Sign up free: unlock all questionsThe typical Naukri (Info Edge) recruitment process has 5 stages: Apply via Naukri.com careers section or LinkedIn; employee referrals are common → Online coding assessment: 2-3 DSA problems in 60-90 minutes → Technical phone screen or video call with an engineer → On-site or virtual technical rounds: DSA problem-solving and low-level or high-level design → Managerial round and HR compensation discussion.
Naukri (Info Edge) typically conducts 5 interview rounds: Online Assessment (60-90 min): 2-3 DSA problems at easy to medium difficulty; arrays, strings, and trees are common.; Technical Round 1 (60 min): DSA problem-solving with complexity analysis; interviewers probe edge cases and optimisation approaches.; Technical Round 2 (60 min): object-oriented or low-level design problem; design a parking lot, elevator system, or job-alert notification engine.; System Design Round (60 min, SDE-2+): design Naukri job search, resume matching pipeline, or recruiter notification system.; Managerial Round (45 min): past project deep-dive, cross-team collaboration, and goal alignment discussion..
HireStepX recommends the Search-first design framework for this type of interview: Query understanding → inverted index → ranking signals → candidate-job matching model → freshness vs. relevance trade-off.
To answer this question well, HireStepX recommends the Search-first design approach: Query understanding → inverted index → ranking signals → candidate-job matching model → freshness vs. relevance trade-off. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Search-first design approach: Query understanding → inverted index → ranking signals → candidate-job matching model → freshness vs. relevance trade-off. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Search-first design approach: Query understanding → inverted index → ranking signals → candidate-job matching model → freshness vs. relevance trade-off. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Search-first design approach: Query understanding → inverted index → ranking signals → candidate-job matching model → freshness vs. relevance trade-off. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Search-first design approach: Query understanding → inverted index → ranking signals → candidate-job matching model → freshness vs. relevance trade-off. Ground your answer in a specific real example from your own experience.