Verily, an Alphabet company focused on health technology and life sciences, hires engineers who can build reliable systems that process complex biomedical and clinical data. Because of this mission, Verily’s engineering interviews emphasize strong data structure and algorithm fundamentals combined with practical problem‑solving ability.

The Verily coding interview process typically begins with a recruiter conversation followed by a technical phone screen. Candidates who pass the initial round are invited to a virtual or onsite interview consisting of multiple coding rounds and, for experienced roles, a system design discussion. Interviewers look for engineers who can reason about data pipelines, handle large datasets, and write clear, production-quality code.

Most Verily interview questions focus on classic DSA patterns rather than trick problems. You should expect problems involving:

Arrays and hash maps for data processing tasks
Trees and graphs for modeling relationships in datasets
Sliding window and two-pointer techniques for efficient analysis
Dynamic programming for optimization-style problems

Difficulty is usually balanced across rounds: one or two easy-to-medium problems early on, followed by at least one medium or medium-hard algorithm problem that tests deeper reasoning and clean implementation.

To help you prepare effectively, FleetCode has compiled reported by candidates. Each problem includes clear explanations and implementations in Python, Java, and C++. Practicing these curated problems will help you recognize the patterns Verily interviewers frequently test and build the confidence needed to perform well in your coding rounds.

Interview tips

Preparing for a Verily coding interview requires strong algorithm fundamentals combined with clear communication and structured thinking. While the company is part of Alphabet, its interviews often emphasize practical data analysis and system reliability problems relevant to healthcare and research platforms.

Typical Verily interview format:

Recruiter screen (20–30 minutes): discussion about your background, projects, and alignment with Verily’s mission.
Technical phone screen (45–60 minutes): one or two coding problems solved in a shared editor. Focus on problem-solving approach and clean code.
Onsite or virtual onsite (3–4 rounds): multiple algorithm rounds plus a behavioral interview. Senior candidates may also have a system design round.

Common coding topics at Verily:

Hash maps and arrays for data processing tasks
Tree and graph traversal (BFS/DFS)
Intervals and sliding window problems
Dynamic programming for optimization scenarios
Basic algorithmic design and complexity analysis

Compared to some big tech interviews, Verily often values clarity of reasoning and maintainable code over extremely tricky algorithms. Interviewers want to see how you break down ambiguous problems, choose the right data structure, and explain tradeoffs.

Preparation strategy:

Start with core patterns: arrays, hash maps, recursion, trees, and graphs.
Practice explaining your thought process out loud while coding.
Focus on writing clean, readable code rather than rushing to the answer.
Review time and space complexity after every solution.

Common mistakes candidates make:

Jumping into coding without clarifying requirements
Ignoring edge cases such as empty inputs or duplicate values
Not discussing complexity tradeoffs
Writing code that is correct but difficult to read

Most candidates benefit from 4–6 weeks of focused preparation solving medium-level problems and reviewing core algorithm patterns. Working through the curated set of Verily-style questions on FleetCode will help you recognize the patterns that commonly appear in their interviews.

Frequently asked questions

What DSA topics does Verily ask most?

Common topics in Verily interviews include arrays, hash maps, tree traversal, graph search (BFS/DFS), sliding window problems, and dynamic programming. Interviewers often focus on efficient data processing and reasoning about datasets, which reflects the company’s work with large health and research data systems.

How hard are Verily coding interviews?

Verily coding interviews are generally considered medium difficulty. Most questions are similar to mid-level LeetCode problems involving arrays, hash maps, trees, and graphs. The challenge usually comes from clearly explaining your approach and writing clean, maintainable code rather than solving extremely complex algorithms.

Does Verily ask system design questions?

Yes, system design questions are commonly asked for mid-level and senior engineering roles at Verily. These interviews evaluate how you design scalable systems, handle data pipelines, and make architecture tradeoffs, especially for platforms dealing with large healthcare datasets.

What is the Verily interview process like?

The Verily interview process usually starts with a recruiter call, followed by a technical phone screen with one or two coding questions. Successful candidates move to a virtual or onsite loop with multiple coding rounds, a behavioral interview, and sometimes a system design round for experienced roles.

How many LeetCode problems should I solve for Verily?

The key is mastering core patterns like two pointers, recursion, trees, and graphs rather than attempting thousands of random problems.

How long should I prepare for a Verily coding interview?

Most candidates prepare for about 4–6 weeks if they already know basic data structures and algorithms. This time is usually spent reviewing core patterns, practicing medium-level problems, and doing mock interviews to improve communication and coding speed.