How to Crack Josh Technology Coding Interviews in 2026

Josh Technology’s coding interviews are known for a strong emphasis on core data structures and algorithmic problem-solving. The process typically involves multiple rounds, including an online assessment focused on DSA, followed by technical interviews that dive deep into implementation and optimization. Success hinges on a clear, efficient approach to medium-difficulty problems.

By the Numbers — Difficulty Breakdown and What It Means

An analysis of 36 recent Josh Technology questions reveals a clear pattern: 72% (26 questions) are of Medium difficulty. Easy problems account for 19%, and Hard problems only 8%. This distribution is critical—it tells you that the interview is designed to assess solid competency, not genius-level optimization. You are expected to reliably solve problems involving combinations of standard data structures, like traversing a tree while using a hash map. The hard problems are rare, but they test if you can handle complex graph or DP scenarios under pressure. The goal is to master the medium tier; if you can consistently solve these within 30-40 minutes, you are in a strong position.

Top Topics to Focus On

The data shows a definitive set of high-priority areas. Allocate 70% of your study time to these.

• Array: The most frequent topic. Expect problems involving subarrays, two-pointer techniques, and sliding windows.
• Linked List: Focus on pointer manipulation, cycle detection, and merging or reversing lists.
• Depth-First Search (DFS): A fundamental traversal method applied extensively in tree and graph problems.
• Tree / Binary Tree: Central to many questions. You must be fluent in all traversals (recursive and iterative), path-sum problems, and subtree checks.

For Josh Technology, mastering Tree Traversals with DFS is non-negotiable. It's the engine for countless problems. Here is the essential recursive DFS pattern for a binary tree:

def dfs(node):
    if not node:
        return
    # Pre-order: Process node here
    dfs(node.left)
    # In-order: Process node here
    dfs(node.right)
    # Post-order: Process node here

Preparation Strategy — A 4-6 Week Plan

This plan is built around the 72% medium-difficulty core.

Weeks 1-2: Foundation & Core Topics _ Days 1-7: Arrays & Linked Lists. Complete 15-20 problems covering two-pointers, sliding windows, and basic pointer manipulation. _ Days 8-14: Trees & DFS. Internalize all traversal orders. Practice path problems (sum, diameter) and subtree identification. Solve at least 20 tree problems.

Weeks 3-4: Pattern Integration & Practice _ Focus on problems that combine topics, like "Binary Tree Level Order Traversal" (Tree + BFS) or "Copy List with Random Pointer" (LinkedList + Hash Map). This mimics the Josh Tech medium problem style. _ Start timed practice sessions (45 minutes per problem). Begin with company-tagged questions on platforms.

Weeks 5-6: Assessment & Refinement _ Take full 2-hour mock interviews focusing only on medium problems. _ Revisit all incorrect problems from previous weeks. Your goal is not to see new problems, but to ensure old ones are solved flawlessly and quickly. * In the final days, review core syntax and standard library functions for your language to avoid minor implementation delays.

Key Tips

1. Communicate Your Process First. Before writing code, state the brute-force approach, then explain your optimized solution's data structures and time/space complexity. Interviewers assess clarity of thought.
2. Write Clean, Compilable Code. Use clear variable names, define your data structures, and avoid clever one-liners that are hard to debug. Write code as if it will be reviewed by a colleague.
3. Test with Your Own Cases. After coding, don't just state it's done. Walk through a small but non-trivial example input, including edge cases (empty tree, single node, sorted array).
4. If Stuck, Use a Concrete Example. For a tricky pointer or tree problem, don't just stare. Draw a small sample (3-4 nodes) on the whiteboard or in comments and trace your logic through it. This often reveals the pattern.

Focus on systematic, medium-difficulty problem-solving over obscure algorithms. Depth in core topics beats breadth in exotic ones for this interview.

Browse all Josh Technology questions on CodeJeet