Delhivery is India's largest fully-integrated logistics platform, running millions of shipments daily across 18,000+ pin codes.
Their engineering interviews in 2026 emphasise distributed systems, real-time tracking pipelines, and warehouse management at scale. You will need to demonstrate strong system design skills alongside solid data structures and algorithms knowledge.
About Delhivery
Delhivery is India's largest logistics and supply chain company, listed on NSE. It operates India's largest express parcel network, serving 90% of India's pin codes.
Online application via Delhivery careers portal or LinkedIn
Recruiter screening call (15 to 20 minutes)
Online coding assessment on HackerRank (90 minutes, 2 to 3 problems)
Two to three technical interview rounds conducted via video call
Hiring manager or system design round
HR discussion and offer rollout
Round 1 - Coding (60 min)
Two medium-to-hard DSA problems covering arrays, graphs, or dynamic programming on a shared coding pad.
Round 2 - System Design (60 to 75 min)
Design a real-time shipment tracking system or a last-mile routing engine. Covers database sharding, message queues, and API design.
Round 3 - Engineering Deep Dive (45 min)
Discussion of past projects with emphasis on scale, failure modes, and trade-off decisions.
Round 4 - Hiring Manager (30 min)
Behavioural and culture-fit discussion; may revisit one system design area.
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Sign up free: unlock all questionsThe typical Delhivery recruitment process has 6 stages: Online application via Delhivery careers portal or LinkedIn → Recruiter screening call (15 to 20 minutes) → Online coding assessment on HackerRank (90 minutes, 2 to 3 problems) → Two to three technical interview rounds conducted via video call → Hiring manager or system design round → HR discussion and offer rollout.
Delhivery typically conducts 4 interview rounds: Round 1 - Coding (60 min): Two medium-to-hard DSA problems covering arrays, graphs, or dynamic programming on a shared coding pad.; Round 2 - System Design (60 to 75 min): Design a real-time shipment tracking system or a last-mile routing engine. Covers database sharding, message queues, and API design.; Round 3 - Engineering Deep Dive (45 min): Discussion of past projects with emphasis on scale, failure modes, and trade-off decisions.; Round 4 - Hiring Manager (30 min): Behavioural and culture-fit discussion; may revisit one system design area..
HireStepX recommends the STAR + System Scale framework for this type of interview: Situation and Task set the business context: Action covers your design decisions and trade-offs: Result quantifies throughput, latency, or reliability gains
To answer this question well, HireStepX recommends the STAR + System Scale approach: Situation and Task set the business context: Action covers your design decisions and trade-offs: Result quantifies throughput, latency, or reliability gains Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR + System Scale approach: Situation and Task set the business context: Action covers your design decisions and trade-offs: Result quantifies throughput, latency, or reliability gains Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR + System Scale approach: Situation and Task set the business context: Action covers your design decisions and trade-offs: Result quantifies throughput, latency, or reliability gains Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR + System Scale approach: Situation and Task set the business context: Action covers your design decisions and trade-offs: Result quantifies throughput, latency, or reliability gains Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the STAR + System Scale approach: Situation and Task set the business context: Action covers your design decisions and trade-offs: Result quantifies throughput, latency, or reliability gains Ground your answer in a specific real example from your own experience.