Coding fluency
Implement an LRU cache. Explain your data structures, test capacity one, and walk through an eviction.
What a strong answer demonstrates
Correctness, edge cases, and time / space complexity.
Prepare for Datadog with a focused mix of coding, design, and communication. Start with your job description and confirm the interview loop with your recruiter.
6 Practice picks
3 Interview reports
5 Levels mapped
01 / MAKE YOUR NEXT SESSION COUNT
Your preparation, made concrete.
System design
Design a notification service. Clarify delivery guarantees, model the data, then handle retries and duplicate events.
What a strong answer demonstrates
Clear requirements, a working baseline, and explicit trade-offs.
Behavioral storytelling
Describe a technical decision you changed after receiving feedback. Explain your contribution and the outcome.
What a strong answer demonstrates
Specific actions, honest reflection, and measurable impact.
BEFORE YOU PRACTICE
Ask your recruiter.
Get the details that a generic company guide cannot know.
- Which team and level is this opening for, and what does success look like?
- What rounds, durations, and evaluation criteria should I prepare for?
- Which languages, tools, and AI assistance are permitted?
- Will design focus on frontend, backend, infrastructure, or another specialty?
- Are there accommodations or preparation materials I should request?
Datadog practice problems
Company-linked challenges and related lessons from our library. Not a prediction of your interview.
Challenge
Difficulty 4/10
Product Except Self
Challenge
Difficulty 5/10
How Out of Order
Challenge
Difficulty 3/10
Validate Palindrome
Challenge
Difficulty 7/10
Matrix Operations
Challenge
Difficulty 4/10
Implement a Graph
Challenge
Difficulty 6/10
Closures and Dependency Injection
Real interview experiences
3 reports from candidates who interviewed at Datadog.
What people at Datadog say
Reviews originally posted on Glassdoor.
good place to work with not much crunch. relaxed atmosphere to the point where my manager would "go out" in the middle of the afternoon and come back noticeably high
Great product, great engineering peers and great culture. From an engineering standpoint, this is a great place to be. It's gratifying to see the company grow at such a rapid clip.
Strong engineering culture. The management layer are all engineers. The cofounders are both technical and get it. The product managers all have some technical experience, and PMs typically have more than one team under their umbrella, which results in a lot of technical freedom and influence.
Corporate culture, benefits, growth opportunities, transparency, excellent corporate citizenship/values, actively supports communities around office locations
Leadership is very transparent. The company has also given us a lot of resources to make the best out of working from home.
Inside the workplace