Full-Time

Senior Security Engineer

Red Team

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

Senior

New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Cybersecurity
IT & Security
Required Skills
Kubernetes
Microsoft Azure
Python
Java
AWS
Go
Google Cloud Platform
Requirements
  • 5+ years of experience with red team operations, pentesting cloud based environments, networks, software development technologies, and web applications
  • 2+ years of experience in leading cross-functional projects
  • Excellent communicator who enjoys collaborating with others, and approaches problems with curiosity and empathy
  • Committed to developing yourself and learning new skills
  • Understanding of security principles and experience in assessing security of AWS, Azure, GCP and/or other cloud providers
  • Understanding of security principles and experience in assessing Kubernetes and container security
  • Comfortable with one or more programming languages (Python, Go, Java, etc.)
  • BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
Responsibilities
  • Perform Red and Purple Team exercises to evaluate gaps in our defense in collaboration with our blue teams
  • Advocate for security change across the company through building partnerships and clearly communicating impact of risks
  • Prototype tools and techniques to increase adversarial simulation efficiency
  • Investigate the impact of emerging vulnerabilities and conduct vulnerability research
  • Work closely with engineering teams to mitigate or remediate security vulnerabilities
  • Assist in incident response activities

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

54%
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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