Full-Time

Senior Security Engineer

Application Security

Posted on 8/9/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software
Cybersecurity

Compensation Overview

$187k - $240kAnnually

Senior

New York, NY, USA

Category
Cybersecurity
IT & Security
Required Skills
Python
Go
Cryptography
Requirements
  • Background in Application Security - OWASP Top 10, XSS, injection, access control, cryptography, static analysis security testing (SAST), dynamic analysis security testing (DAST), security libraries
  • Background in software engineering or development in a collaborative environment. Go, Python are preferred.
  • Can lead the development and implementation of secure-by-default solutions across various applications and platforms. Has experience implementing secure by default framework, libraries, and solutions
  • Can perform secure design reviews and threat models with staff engineers and architects on complex systems
  • Have empathy, collaboration skills, and a learning mindset to work cross functionally with engineers of all levels from product and platform teams across Datadog stack
  • Acts as an effective mentor in fostering the growth of teammates. You actively promote a positive team culture and are dedicated to the ongoing development and success of your peers.
  • Proven track record of driving security initiatives with leadership and engineering buy-in
Responsibilities
  • Get a deep understanding of Datadog’s software development life cycle, software supply chain, build pipelines, delivery mechanisms and configuration management
  • Lead the development and implementation of secure-by-default solutions across various applications and platforms
  • Conduct threat modeling on new and existing products with engineering teams using frameworks such as STRIDE
  • Design and lead developer security training to enhance design and coding best practices
  • Work with engineering teams to align new features to achieve world-class security.
  • Identify top company threats across products and services and prioritize remediation efforts
  • Empathize with the full spectrum of our customers and our engineers by advocating for effective solutions that scale with the needs of our business and our customers.
  • Serve as a subject matter expert for other teams regarding building, delivering, and deploying code at Datadog.
  • Provide mentorship and guidance to team members and foster a positive team culture.

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, detect security threats, and ensure that applications run smoothly. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to help businesses maintain efficient and secure IT operations through comprehensive monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for cloud-native solutions boosts Datadog's adoption.
  • AI-driven observability tools align with Datadog's recent AI-focused offerings.
  • IoT market expansion presents opportunities for Datadog's monitoring services.

What critics are saying

  • Increased competition from new entrants like Honeycomb and Grafana Labs.
  • Potential over-reliance on AWS could pose risks during outages.
  • New privacy regulations may increase compliance costs for Datadog.

What makes Datadog unique

  • Datadog offers comprehensive monitoring across servers, containers, and databases.
  • Their LLM Observability module supports monitoring of generative AI applications.
  • Datadog's Kubernetes Active Remediation provides end-to-end management of Kubernetes environments.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation

INACTIVE