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Datadog Careers

US cloud observability and security software company (Nasdaq: DDOG) with a growing India presence in Bengaluru

datadoghq.com

About the company

Legal name

Datadog, Inc.

Founded

2010

Industry

Cloud observability, monitoring and security software

Employees

About 8,100 (2025)

CEO

Olivier Pomel (CEO & Co-Founder)

CFO

David Obstler

Listed on

NASDAQ: DDOG (S&P 500 and Nasdaq-100)

Revenue (FY25)

$3.43 billion (up about 28% YoY)

Headquarters

New York City, USA

Datadog, Inc. is a US cloud monitoring and observability software company founded in 2010 by Olivier Pomel and Alexis Lê-Quôc. Headquartered in New York City, it runs an observability and security platform for cloud applications that pulls together data from servers, containers, databases and third-party services. The company trades on the Nasdaq under the ticker DDOG and is a component of the S&P 500 and Nasdaq-100.

For fiscal year 2025 Datadog reported revenue of about $3.43 billion, up roughly 28% year over year, and it employed around 8,100 people. As of 21 July 2026 its market capitalization was about $90.7 billion. Olivier Pomel serves as CEO, co-founder Alexis Lê-Quôc as CTO, David Obstler as CFO and Adam Blitzer as COO. The company does not list a chairman on its leadership page.

In India, Datadog operates through Datadog Cloud India Private Limited (CIN U72900KA2022FTC168134), incorporated on 21 November 2022 with a registered office in Bengaluru. Its Bengaluru operation, based at Embassy Golf Links Business Park in Domlur, houses nearly 100 staff across engineering, customer support, sales and operations and serves as a hub for one of Datadog's fastest-growing markets.

Key People

Olivier Pomel

CEO & Co-Founder

Alexis Lê-Quôc

CTO & Co-Founder

David Obstler

Chief Financial Officer

Adam Blitzer

Chief Operating Officer

Interview process at Datadog

(15 reviews)

Interview experience

Favorable

Interview difficulty

Medium

Interview process length

About a week (most common)

Overall experience

PoorExcellent
EasyDifficult

How long the process takes

About a day or two14%
About a week42%
About a month14%
More than one month29%

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Datadog Interview Questions & Answers

Q: Given a raw log file, parse specific fields and aggregate error counts by hour.

A: Read the file line by line, extract the timestamp and error field, then bucket by hour and tally counts in a hash map.

Answer by AI
  • Stream the file line by line so memory stays flat even for large logs.
  • Parse each line into fields, then truncate the timestamp to the hour to use as the map key.
  • Increment a counter per hour bucket and return the aggregated map, sorted if the output needs order.

Q: Design a data structure that supports insert, delete, and getRandom in O(1) time.

A: Combine a hash map with a dynamic array: the map stores value to index, the array stores the values, and getRandom picks a random index.

Answer by AI
  • Keep an array of values plus a map from each value to its array index.
  • For delete, swap the target with the last element, pop it, and update the moved element's index in the map.
  • getRandom returns array at a random index, which runs in O(1).

Q: How would you design a system to ingest and query custom metrics from millions of hosts?

A: Frame it around ingestion, storage, and query layers: an agent on each host, a scalable pipeline, a time-series store, and pre-aggregation for fast reads.

Answer by AI
  • Put a lightweight agent on each host that batches and ships metrics over a durable queue.
  • Store data in a time-series database partitioned by metric and time, with rollups for older data.
  • Serve queries from pre-aggregated tables and cache hot dashboards to keep latency low.

Q: Walk me through the most difficult bug you have ever debugged. How did you find it, and how did you fix it?

A: Use a structured story: the situation, how you isolated the root cause, the fix, and the guardrail you added. Keep it specific to your own work.

Answer by AI
  • Set the scene briefly: the system, the symptom, and why it was hard to reproduce.
  • Walk through your method: logging, bisecting, or isolating variables until you found the root cause.
  • Close with the fix and the safeguard you added so it couldn't happen again.

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Datadog Salaries in United States (Updated 2026)

Software Engineer I (Entry Level)

Median total comp/yr

$185K

Software Engineer II

Median total comp/yr

$250K

Senior Software Engineer

Median total comp/yr

$428K

Staff Software Engineer

Median total comp/yr

$568K

Software Engineer (all levels)

Median total comp/yr

$332,128

Software Engineering Manager

Median total comp/yr

$425,000

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Benefits

Health, dental, and vision plans
Mental health care program with 10 free annual appointments for employees and dependents
Family-forming benefits: fertility, adoption, surrogacy, fertility preservation
Gender Affirming Care Wallets covering procedures and therapy
Fitness reimbursements (yoga, ski passes) in eligible offices
Flexible Paid Time Off for vacation and personal days
Fully paid gender-neutral parental leave after 3+ months employment
Employee Stock Purchase Plan with 15% share discount
401(k) and pension match programs in eligible offices
Financial planning assistance through local vendors
Employee referral bonus program
Training and learning programs led by the Talent Development team

Latest News & Updates

July 16, 2026

Datadog sets August 6 date for Q2 FY2026 earnings call

Datadog said it will report its second quarter fiscal 2026 financial results before U.S. markets open on Thursday, August 6, 2026, and host a conference call at 8:00 a.m. Eastern that morning.

#earnings #DDOG #Q22026

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June 30, 2026

Datadog acquires Adaptive ML to expand AI research

Datadog acquired Adaptive ML, an AI startup building what it calls the first Reinforcement Learning Operations (RLOps) platform, folding the team into Datadog AI Research to help enterprises build and improve their own AI agents and models. Financial terms were not disclosed.

#acquisition #AI #RLOps

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June 9, 2026

Datadog launches 100+ capabilities at DASH 2026

At its DASH conference Datadog unveiled more than 100 new products and capabilities centered on autonomous AI operations, including an expanded Bits AI agent suite, the AI Guard security product against prompt injection and agent poisoning, and a Bring Your Own Cloud deployment model.

#DASH2026 #AI #observability

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May 7, 2026

Datadog posts $1.006B Q1 2026 revenue, up 32%

Datadog reported first quarter 2026 revenue of $1,006 million, up 32% year over year, and said it had about 4,550 customers with ARR of $100,000 or more, up from about 3,770 a year earlier.

#earnings #Q12026 #DDOG

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March 26, 2026

Datadog opens Bengaluru office as India command center

Datadog opened a Bengaluru office as a strategic hub for its India business, with over 100 employees in India serving about 400 organizations and plans to expand sales, engineering, marketing, customer success and support roles in Bengaluru, Mumbai and Delhi.

#India #Bengaluru #expansion

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Datadog FAQ

Datadog runs a cloud observability and security platform. It pulls together monitoring data from servers, containers, databases and third-party services so teams can watch and secure their applications.