What questions are asked in Indian Oil Backend Engineer interviews?

Recent candidates report role-specific technical depth, system design or case prompts, and behavioral STAR questions. "Implement rate limiting for a public API…" is among frequently reported topics.

Is domain-specific tech mandatory for Indian Oil Backend Engineer?

Strong fundamentals are required; stack depth signals vary by team. Panels often probe production scenarios even when the JD lists it as preferred.

How many rounds are there in Indian Oil Backend Engineer interviews?

Most loops include 3–5 rounds: recruiter screen, technical depth, system or domain panel, and behavioral/hiring-manager. Timelines often run 3–6 weeks.

How difficult is the Indian Oil Backend Engineer interview?

Difficulty is Medium–High. Candidates who practice real questions with AI mocks and follow-up chains outperform passive reading.

What SQL and data topics are asked at Indian Oil?

Data-heavy tracks report warehousing, ETL, optimization, and modeling questions. Match prep to your specialization and recent candidate reports.

How do I answer "Implement rate limiting for a public API…" in a Indian Oil panel?

Structure with constraints, approach, trade-offs, and metrics. Use the simulator's mock mode for Indian Oil-style follow-ups and readiness tracking.

Back to Indian Oil Backend Engineer interview

Interview question

Implement rate limiting for a public API

Asked in Indian Oil Backend Engineer interviews

Asked by

23% candidates

Difficulty

Medium

Round

Technical Round

AI synthesized from candidate reports

Back to Questions

Question 2 of 5

Implement rate limiting for a public API

Medium57% Candidate ReportsCODINGIndian OilBackend Engineer

Question

Implement rate limiting for a public API

High-Level Approach

Redis INCR with TTL or token bucket; return Retry-After; monitor reject rate.