← All employers

Employer hiring guide

Datadog

Technology · US · UK · GLOBAL

5candidate experiences

Candidate experiences

What candidates experienced

Based on 5 candidate experiences.

Experiences vary by role, level, location and year. These findings describe the experiences in this dataset, not every applicant.

Filter experiencesRole, level, region, year and outcome

What stands out

Details a standard process page usually leaves out

Every pattern shows how many relevant experiences support it and how many contained the detail needed to assess it.

  1. 01
    Coding focusGeneral coding

    4 of 5 experiences with assessment details

  2. 02
    Behavioural focusOwnership and delivery

    4 of 5 experiences with assessment details

  3. 03
    System designSystem design

    3 of 3 experiences with assessment details

  4. 04
    Candidate preparationProject examples

    3 of 4 experiences with preparation details

Common process

How candidates moved through the process

These are stages and ranges reported by candidates, not a fixed company-wide interview route.

Not enough structured stage detail is available for a shared pattern yet.

2–3 roundsReported among 4 experiences with round information.

Assessment themes

What the interviews actually focused on

Each line uses only experiences containing relevant assessment detail, so missing information does not dilute the denominator.

Overall assessment style

Not enough similar experiences yet to show a common pattern.

Coding and online assessment

  • 4 of 5general coding · 80%

System design

  • 3 of 3system design

Behavioural and culture

  • 4 of 5ownership and delivery · 80%

Projects and case studies

Not enough similar experiences yet to show a common pattern.

Candidate preparation

What candidates recommend preparing

These patterns come only from experiences that included preparation detail.

  • 3 of 4project examples

Communication and outcomes

How the process ended

Response

Heard-back and left-waiting findings use 5 experiences with a known response. Pending and unknown experiences are excluded.

Heard back5 of 5100%
Left waiting0 of 50%
Pending0 of 5Count among all included experiences
Unknown0 of 5Count among all included experiences
Blanked after interview0 of 50%

Reported outcomes

Raw counts among 5 experiences with a reported final outcome. These are not hiring probabilities.

2Offers
1Rejections
0Ongoing
0Withdrew
2Declined or altered offers

Candidate findings

What individual experiences reveal

Each row describes one candidate experience and keeps its process, assessment and outcome context together. It is not a company-wide claim.

01

Candidate finding · Software engineering · Internship · Europe

One candidate experience reported assessment focused on production-style implementation and algorithmic problem-solving.

Reported route

Coding

Assessment focus

Production-style implementation · Algorithmic problem-solving · Algorithms and data structures · Practical implementation · System design · Ownership and delivery

How they prepared

Practical implementation · Algorithms and data structures · Project examples

Process shape

Partial Loop · about 3 rounds · Live Coding

Communication and outcome

The employer replied. Outcome: Declined Offer

The experience placed emphasis on production-style implementation and algorithmic problem-solving. Preparation guidance focused on practical implementation and algorithms and data structures.

02

Candidate finding · Software engineering · Internship · 2026

One candidate experience reported assessment focused on project and technical deep dive.

Reported route

Recruiter screen

Assessment focus

Project and technical deep dive · General coding · Collaboration and conflict · Ownership and delivery · Technical project discussion

How they prepared

Project examples

Process shape

Partial Loop · about 2 rounds · Recruiter Screen

Communication and outcome

The employer replied. Outcome: Offered

The experience placed emphasis on project and technical deep dive. Preparation guidance focused on project examples.

03

Candidate finding · Software engineering · Internship · 2026

One candidate experience reported assessment focused on project and technical deep dive.

Reported route

Coding → Presentation

Assessment focus

Project and technical deep dive · General coding · Ownership and delivery · Technical project discussion · Presentations and project deep dives

How they prepared

Project examples

Process shape

Partial Loop · about 2 rounds · Case Or Presentation

Communication and outcome

The employer replied. Outcome: Declined Offer

The experience placed emphasis on project and technical deep dive. Preparation guidance focused on project examples.

04

Candidate finding · Software engineering · Internship · 2025

One candidate experience reported assessment focused on general coding, system design, and ownership and delivery.

Reported route

Recruiter screen → Behavioural

Assessment focus

General coding · System design · Ownership and delivery

Process shape

Partial Loop · about 2 rounds · Timing was reported, but not in a consistent range · Recruiter Screen / Behavioural

Communication and outcome

The employer replied. Outcome: Rejected

The experience placed emphasis on general coding, system design, and ownership and delivery.

Dataset context

What is represented in this view

Coverage changes with the filters above, so the context stays attached to every finding.

5Candidate experiences
5Reached interview
0Full-loop experiences
2Role families represented
1Broad locations represented
2025–2026Interview years represented

Heard back among known responses5 of 5

Reported rounds · 4 with detail2–3