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Full-Time

Staff Software Engineer

AAA Identity

Posted on 3/28/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$234k - $300kAnnually

+ Equity + Variable Compensation

Senior, Expert

Boston, MA, USA + 1 more

More locations: New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Software Engineering
Requirements
  • You have led cross-team technical initiatives in a product engineering environment, with quick iteration cycles, for 20+ engineers.
  • You have led impactful technical initiatives in an environment where customer experience, performance, reliability, and accuracy are all first-order concerns.
  • You have a data-oriented mindset and care deeply about designing and building valuable and maintainable products and architectures.
  • You have significant backend experience and have architected, built, and maintained products that operate at high scale.
  • You rely heavily on your excellent written technical communication skills to persuade technical and non-technical stakeholders for high-investment projects.
Responsibilities
  • Architect core data storage, access, and lifecycle management, enabling dozens of dependent engineering teams to deliver amazing customer experiences.
  • Support an internal API platform for the Application Infrastructure organization, enabling other platform teams to deliver new features quickly and reliably.
  • Collaborate with your team, product management, and security teams to align our work with company-wide objectives.
  • Stay hands-on with our systems day-to-day, going deep to solve our technical challenges scalably while focusing on the end-to-end user experience.
  • Identify potential system risks and design solutions to address them, often in collaboration with many other engineering teams.
  • Contribute to short- and long-term planning and roadmap development.

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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