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
Preparation
Tips
Study plan
Fig · Study plan — 05 phases
01 / 05Phase 01 of 05
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.
Phase 02 of 05
Weeks 3-4: Algorithms (Sorting, Searching, Recursion, DP, Greedy, Graph Traversal). Practice problem-solving.
Weeks 3-4: Dive into algorithms, including sorting (quicksort, mergesort), searching (binary search), recursion, dynamic programming, greedy algorithms, and graph traversal (BFS, DFS). Practice solving problems that require applying these algorithms.
Phase 03 of 05
Week 5: Coding Practice. Focus on clean code, efficiency, and edge cases.
Week 5: Focus on coding proficiency. Practice writing clean, efficient, and well-commented code in your preferred language. Work on problems that require translating algorithmic solutions into working code. Pay attention to edge cases and error handling.
Phase 04 of 05
Week 6: Behavioral & System Design Basics. Practice STAR method and fundamental system concepts.
Week 6: Prepare for behavioral and system design questions. Review common behavioral questions and practice answering them using the STAR method. For system design, understand basic concepts like load balancing, caching, databases, and APIs. Even for entry-level, showing awareness is beneficial.
Phase 05 of 05
Week 7: Mock Interviews & Review. Simulate interviews and reinforce weak areas.
Week 7: Mock interviews and review. Conduct mock interviews with peers or mentors to simulate the interview environment. Review your weak areas based on feedback and practice any remaining topics.
Questions
Locations
Fig · Regions — 03 locations
01 / 03Location
Interview focus
Common questions
Tips
Location
Interview focus
Common questions
Tips
Location
Interview focus
Common questions
Tips
Rounds
Expand a step for evaluation criteria, sample questions, and prep notes.
HR Screening · 15 min · Recruiter
This is typically the first point of contact. The recruiter will discuss your background, interest in Datadog, and the specifics of the role. They will also cover logistical aspects like salary expectations and availability. This is also an opportunity for you to ask initial questions about the company and the interview process.
What they look for
Evaluation
Sample questions
Can you tell me a bit about your background and why you're interested in this role?
What are your salary expectations?
Do you have any questions for me about Datadog or the role?
Prep for this round
Common rejection reasons
Technical Interview (Coding) · 45 min · Software Engineer
This round focuses on assessing your core technical skills. You will be given one or two coding problems that require knowledge of data structures and algorithms. The interviewer will evaluate how you approach the problem, your ability to write clean and efficient code, and how well you communicate your thought process. Expect to discuss the time and space complexity of your solution.
What they look for
Evaluation
Sample questions
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.
Prep for this round
Common rejection reasons
Technical Interview (System Design) · 45 min · Senior Software Engineer or Engineering Manager
This round assesses your ability to think about system design, even at an entry-level. You might be asked to design a high-level system (e.g., a URL shortener, a Twitter feed) or discuss architectural concepts. The focus is on your thought process, how you approach ambiguity, and your understanding of fundamental design principles.
What they look for
Evaluation
Sample questions
How would you design a URL shortening service like bit.ly?
Design a basic rate limiter.
How would you design a news feed system?
Prep for this round
Common rejection reasons
Behavioral Interview · 30 min · Hiring Manager or Senior Team Member
This round focuses on your behavioral and cultural fit. You'll be asked questions about your past experiences, how you handle challenges, work in teams, and your motivations. The interviewer wants to understand how you operate, your strengths, and if you'd be a good addition to the team and Datadog's culture.
What they look for
Evaluation
Sample questions
Tell me about a time you had a conflict with a teammate and how you resolved it.
Describe a challenging project you worked on and what made it challenging.
Why are you interested in Datadog and this specific role?
What are your career aspirations for the next 3-5 years?
Prep for this round
Common rejection reasons
DSA
Frequently reported on Datadog loops
Other guides
