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Full-Time

Senior Software Engineer

Enterprise Engineering, Integrations

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

$187k - $240kAnnually

+ Variable Compensation

Senior

Boston, MA, USA + 1 more

More locations: New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
AWS
Requirements
  • You have expert-level experience in one or more languages (e.g. Go, Python), with the interest and drive to learn additional tools and technologies
  • You have significant experience designing, building, and deploying scalable end-user applications; preferably in AWS
  • You have excellent verbal and written communications skills as well as working with remote team members
  • You efficiently drive consensus on solving real problems while avoiding bikeshedding
  • You take an active role in identifying and proposing initiatives to improve existing systems.
Responsibilities
  • Collaborate with teams across the organization to identify gaps and design automated solutions to address Datadog’s business needs
  • Add and deploy features to existing applications
  • Design and build scalable full stack tools that have company-wide impact
  • Identify novel opportunities for the team to add value through automation
  • Shape the direction of the team through planning and discovery
  • Participate in a team on-call rotation to troubleshoot and solve issues with our tools

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 health. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to visualize and analyze this information in real-time. This helps businesses ensure their systems are running smoothly and efficiently. What sets Datadog apart from its competitors is its wide range of features that cater to different needs, such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to support organizations in maintaining optimal performance and security of their IT infrastructure, regardless of their size or industry.

Company Stage

IPO

Total Funding

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

13%

1 year growth

26%

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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