Overview
Use this page to prepare for Ola placement drives in 2026 . It outlines the expected online assessment and interview shape based on recent Ola hiring cycles, the topics that keep showing up (coding/DSA, core CS, and role-specific rounds), and a practical multi-month study plan. Pair it with the 2024 and 2025 papers on this site so you are drilling current-style questions while tracking what may change next year.
Expected Ola OA 2026 pattern
Based on recent trends, the 2026 OA is expected to follow a similar pattern with potential additions:
Section
Expected Questions
Time
Difficulty
Focus Areas
Coding Problems
2-3
60-90 min
Medium-Hard
DSA, Algorithms
Debugging
1-2
15-30 min
Medium
Code Analysis
AI/ML Concepts (New)
0-1
10-15 min
Medium
Basic ML concepts
Total : 2-3 coding problems, 90-120 minutes (expected)
Expected Changes for 2026:
More focus on AI/ML concepts (given Ola’s investment in Kruti and agentic systems)
Increased emphasis on system design and scalability
Potential addition of take-home assignments for some roles
Enhanced evaluation of problem-solving approach
More scenario-based questions related to mobility tech
Expected 2026 question types
Data structures & algorithms
Expected Topics:
Arrays and String manipulation
Trees and Binary Search Trees
Graphs (BFS, DFS, shortest path algorithms)
Dynamic Programming
Hashing and Hash Tables
Heap and Priority Queue
Difficulty Level:
Medium problems: 60-70%
Hard problems: 30-40%
System Design
Expected Topics:
Ride matching system design
Payment gateway architecture
Real-time location tracking
Scalability and load balancing
Database design (SQL vs NoSQL)
Caching strategies
API design
AI/ML concepts
Expected Topics:
Basic machine learning concepts
AI agent systems (relevant to Ola’s Kruti)
Natural language processing basics
Recommendation systems
Expected 2026 hiring trends
Hiring volume
Total Hires : 700+ freshers expected
SDE-1 Selections : 400+ selections expected
SDE-2 Selections : 200+ selections expected
AI/ML Roles : 50+ new positions expected
Growth : 15-20% increase from 2025
Salary packages
SDE-1 : ₹19-23 LPA (expected increase)
SDE-2 : ₹25-32 LPA
Senior SDE : ₹42-58 LPA
AI/ML Engineer : ₹20-28 LPA (new role)
Competitive packages with ESOPs
New initiatives
More roles in AI/ML and data science
Electric mobility engineering roles
Enhanced focus on agentic systems
Global mobility opportunities
Expected 2026 question trends
DSA Focus (Expected):
Arrays: 30% of problems
Trees: 25% of problems
Graphs: 25% of problems
Dynamic Programming: 15% of problems
Strings: 5% of problems
New Additions:
AI/ML basic concepts: 5-10% (new)
System design: Increased weightage
Real-world scenarios: More emphasis
Difficulty:
Expected to maintain Medium-Hard difficulty
Focus on optimal solutions and edge cases
Key insights for 2026 preparation
DSA fundamentals remain critical - Solve 100+ problems on LeetCode/HackerRank
System design knowledge essential - Practice designing scalable systems
AI agent concepts important - Understand Ola’s investment in Kruti and agentic systems
Behavioral preparation crucial - Ola values (customer focus, innovation, ownership)
Stay updated with Ola’s technology - Research recent developments and business model
Preparation strategy for 2026
6-Month preparation plan
Months 1-2: Foundation
Master DSA fundamentals (arrays, trees, graphs, DP)
Solve 50+ problems on LeetCode/HackerRank
Learn system design basics
Study Ola’s business model and technology
Months 3-4: Advanced Topics
Solve 50+ more problems (medium to hard)
Practice system design problems
Learn AI/ML basics (relevant to Ola’s Kruti)
Prepare behavioral stories (STAR format)
Months 5-6: Interview Preparation
Mock interviews and OA practice
Review previous year Ola papers
System design mock sessions
Final revision and confidence building
3-Month intensive plan
Month 1:
DSA fundamentals crash course
Solve 30+ problems weekly
System design basics
Month 2:
Advanced DSA topics
Solve 40+ problems weekly
System design practice
Behavioral preparation
Month 3:
Mock tests and interviews
Final revision
Confidence building
Preparation tips for 2026 pattern
Focus on DSA fundamentals - Solve 100+ problems covering all topics
Learn system design basics - Practice designing scalable systems (ride matching, payments)
Understand AI agent concepts - Ola’s investment in Kruti and agentic systems
Practice behavioral questions - Ola values are crucial (customer focus, innovation, ownership)
Stay updated with Ola’s technology - Research recent developments, business model, and growth
Practice online coding - Get comfortable with virtual interview platforms
Time management - Practice solving problems within time limits
Communication skills - Practice explaining your approach clearly
Expected interview process for 2026
Online Assessment (OA) - 90-120 minutes with 2-3 DSA problems
Technical Interviews (2-3 rounds) - DSA, coding, system design
Managerial/Team Fit Interview - Ola values and cultural fit
HR/Offer Discussion - Final negotiation
Expected Duration : 2-4 weeks from application to offer
Download 2026 preparation resources
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