Full-Time

Software Engineer – Early Career

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$123k - $155kAnnually

Entry

Boston, MA, USA + 1 more

More locations: New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Frontend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
Go
Requirements
  • You are in the process of receiving/have a degree in computer science, software engineering, or related scientific field, or equivalent experience
  • You are targeting a 2025 full-time start date
  • You are comfortable coding in one or more languages (experience with Go or Python is a plus)
  • You value code simplicity and performance
  • You have worked as a software engineering intern or have related experience
  • You want to work in a fast-paced environment that values its employees and customers
  • You are a self-starter who enjoys partnering with other engineers and solving difficult problems
  • You are available to start work from one of our offices on one of the following dates: February 24, 2025, July 7, 2025, August 25, 2025
Responsibilities
  • Solve a scaling bottleneck in a critical service
  • Deploy a new feature to production and progressively roll it out with feature flags
  • Investigate and fix a production issue from a service your team owns
  • Create a way to optimize a service to handle more traffic at scale
  • In partnership with your team, plan the most important projects to work on next

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics and detect issues in real-time. This enables businesses to ensure their systems run smoothly and efficiently. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs, such as cloud migration and IoT monitoring, all within a single platform. The company's goal is to help businesses optimize their IT operations and improve overall performance through effective monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

36%

2 year growth

55%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.

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