Scale Engineer

Software Engineer

Software EngineerSoftware Engineer IMedium

The Software Engineer I interview at Datadog is designed to assess a candidate's foundational knowledge in computer science, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, starting with an HR screening, followed by technical interviews focusing on data structures, algorithms, and coding proficiency, and concluding with a behavioral or system design interview to evaluate collaboration and architectural thinking.

Rounds·4

Timeline·~7d

Experience·0 - 2 yrs

Comp band·US$85000 - US$110000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Coding proficiency
  • Data structure knowledge
  • System design fundamentals
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium-difficulty problems.
  3. Understand Big O notation for time and space complexity analysis.
  4. Brush up on object-oriented programming principles.
  5. Familiarize yourself with common system design concepts, even for entry-level roles, to understand scalability and trade-offs.
  6. Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and learnings.
  7. Research Datadog's products and culture to understand how your skills and interests align.
  8. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures

Weeks 1-2: Data Structures (Arrays, Lists, Trees, Graphs, Hash Maps). Practice implementations and complexity analysis.

Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, hash maps, trees (binary trees, BSTs, heaps), and graphs. Practice implementing them and solving problems related to their operations. Understand their time and space complexities.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Implement a function to reverse a linked list.
  • Write a function to check if a binary tree is a valid Binary Search Tree.
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to deal with a difficult stakeholder.
  • How would you design a URL shortening service?
  • What are the trade-offs between SQL and NoSQL databases?
  • Tell me about a time you failed and what you learned from it.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

New York

Interview focus

Adaptability to new technologiesProblem-solving in a fast-paced environmentCollaboration and communication skills

Common questions

  • Tell me about a challenging project you worked on.
  • How do you approach debugging a complex issue?
  • Describe a time you had to learn a new technology quickly.

Tips

  • Highlight projects where you demonstrated quick learning and adaptability.
  • Be prepared to discuss how you handle ambiguity and changing requirements.
  • Emphasize your ability to work effectively in a team.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Datadog.

Frequently reported on Datadog loops

View all at Datadog

Other guides

More at Datadog.