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Full-Time

Staff Software Engineer

Driveline

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$250k - $300kAnnually

+ Equity + Variable Compensation

Mid, Senior

New York, NY, USA

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Requirements
  • You have led cross-team initiatives in a platform or infrastructure-focused environment for 2+ years.
  • Deep experience in C++ language.
  • Passionate about performance and efficiency optimization.
  • You have led impactful technical initiatives in an environment where performance, reliability, and accuracy are first-order concerns.
  • You have a reliability-oriented mindset and care deeply about designing and building resilient architectures.
  • You have significant back end programming experience and have architected, built, and operated distributed systems to solve problems at high scale.
Responsibilities
  • Design and drive high priority, high visibility projects that increase the platform's resilience and scalability across multiple teams.
  • Lead and guide others through architectural decisions for new and existing distributed, high-throughput, real-time systems.
  • Identify potential system risks and trends in reliability, and design solutions to address them.
  • Provide input on prioritization of engineering-led initiatives in short- and long-term planning and roadmaps.
  • Collaborate closely with partner platforms that integrate and depend on the event platform to provide critical capabilities to their customers.

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

17%

2 year growth

46%
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.