How Ola fresher interviews usually run, campus and off-campus. Patterns shift by year and role, so treat this as a prep map, not a script.
Ola placement process 2026 (from student reports) includes: 1. Online Coding Assessment (OA): 90-120 minutes with 2-3 DSA problems and debugging questions on HackerRank, 2. Technical Interviews (2-3 rounds, 45-60 min each) covering DSA, coding, and system design (ride matching, payments), 3. Managerial/Team Fit Interview (45 min) focusing on Ola values (customer focus, innovation, ownership), 4. HR/Offer Discussion (20-30 min). Total duration: 2-4 weeks from application to offer.
Eligibility (from student reports): 6.5+ CGPA in 10th, 12th, and graduation.
Fresher package ballpark (from student reports): SDE-1: ₹16-22 LPA. Confirm on your offer letter.
Experience: The OA was conducted on HackerRank with 3 coding problems:
Array Problem: Find maximum sum subarray (Kadane’s algorithm variant)
Tree Problem: Find lowest common ancestor in a binary tree
Graph Problem: Shortest path in a weighted graph (Dijkstra’s algorithm)
Time Allocated: 120 minutes
Approach: I solved all 3 problems correctly, focusing on optimal time complexity. The debugging section had 2 questions where I had to identify and fix bugs in provided code.
Result: Cleared OA, advanced to technical interviews
Round 2 - Technical Interview 1 (60 minutes)
Questions Asked:
Started with “Tell me about yourself” and project discussion
Coding Problem: Design a data structure to support insert, delete, and getRandom in O(1) time
Follow-up: Optimize for space complexity
System Design: Design a ride matching system for Ola
Approach:
Explained my approach clearly before coding
Used HashMap + ArrayList for the data structure problem
Discussed trade-offs and edge cases
For system design, covered scalability, load balancing, database design, real-time matching
Result: Positive feedback, advanced to next round
Round 3 - Technical Interview 2 (45 minutes)
Questions Asked:
Coding Problem: Implement LRU Cache with O(1) operations
Algorithm Discussion: Explain Dijkstra’s algorithm and when to use it
System Design: Design a payment gateway with transaction safety
Project Deep Dive: Detailed discussion on my internship project
Approach:
Implemented LRU using HashMap + Doubly Linked List
Explained algorithm complexity and use cases
Discussed ACID properties, idempotency, retry mechanisms for payment system
Walked through project architecture and design decisions
Result: Strong performance, advanced to managerial round
Round 4 - Managerial/Team Fit Interview (45 minutes)
Questions Asked:
Ola Values: “Describe a time you demonstrated ownership”
Scenario: “How would you handle a production issue at 2 AM?”
Teamwork: “Describe a conflict you resolved in a team”
Technical Discussion: Architecture decisions, trade-offs in system design
Approach:
Used STAR format for behavioral questions
Emphasized customer focus and ownership
Discussed on-call responsibilities and incident management
Showed alignment with Ola’s values
Result: Cultural fit confirmed, advanced to HR round
Round 5 - HR Interview (30 minutes)
Questions Asked:
Personal background and education
“Why Ola?”
Salary expectations
Joining date and relocation
Questions about Ola’s culture and growth
Result: Selected - Received offer for SDE-1 role with ₹18 LPA package
Tips:
Strong DSA preparation is crucial
Practice system design problems relevant to mobility tech
Be ready to discuss Ola’s business model and technology
After technical rounds, Ola usually closes with a short HR / hiring-manager conversation: motivation, location, notice period, and a couple of behavioural stories. Prepare those answers on the dedicated page rather than cramming them into this hub.