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Ola 2026 Pattern Details

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

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

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

  1. DSA fundamentals remain critical - Solve 100+ problems on LeetCode/HackerRank
  2. System design knowledge essential - Practice designing scalable systems
  3. AI agent concepts important - Understand Ola’s investment in Kruti and agentic systems
  4. Behavioral preparation crucial - Ola values (customer focus, innovation, ownership)
  5. 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

  1. Focus on DSA fundamentals - Solve 100+ problems covering all topics
  2. Learn system design basics - Practice designing scalable systems (ride matching, payments)
  3. Understand AI agent concepts - Ola’s investment in Kruti and agentic systems
  4. Practice behavioral questions - Ola values are crucial (customer focus, innovation, ownership)
  5. Stay updated with Ola’s technology - Research recent developments, business model, and growth
  6. Practice online coding - Get comfortable with virtual interview platforms
  7. Time management - Practice solving problems within time limits
  8. Communication skills - Practice explaining your approach clearly

Expected interview process for 2026

  1. Online Assessment (OA) - 90-120 minutes with 2-3 DSA problems
  2. Technical Interviews (2-3 rounds) - DSA, coding, system design
  3. Managerial/Team Fit Interview - Ola values and cultural fit
  4. HR/Offer Discussion - Final negotiation

Expected Duration: 2-4 weeks from application to offer

Download 2026 preparation resources

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