Datadog

Senior Security Engineer, Offensive Security

Datadog$195K — $240K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on experience in offensive security (red teaming, penetration testing, or adversary simulation)
  • Proficient in writing production-quality code (Python, Go, or similar)
  • Deep expertise in at least two areas: macOS security, Linux security, cloud platforms (AWS, GCP, Azure), Kubernetes, or CI/CD pipelines
  • Experience developing evasion techniques against modern defensive controls
  • Strong communication skills for conveying complex findings
  • Ability to operate with ambiguity and manage projects independently

Responsibilities

  • Plan and execute red team engagements across diverse environments
  • Build and maintain custom offensive tooling and automation frameworks
  • Develop tailored payloads for Datadog's environment and defenses
  • Enhance offensive operation efficiency using automation and AI
  • Collaborate with Detection & Response team on purple team exercises
  • Translate offensive findings into actionable improvements for defensive security

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development and career pathing
  • Intradepartmental mentor and buddy program
  • Inclusive company culture with Community Guilds participation
  • Free global mental health benefits for employees and dependents
  • Competitive global benefits package
Full Job Description
Here at Datadog, we think about offensive security a little bit differently. We embrace automation and AI to run adversary simulations continuously across a massive cloud-native environment, and we expect our offensive engineers to build the tooling that makes that possible. We're looking for a Senior Security Engineer who can execute sophisticated red team operations, write the code that scales them, and take an AI-first approach to offensive security engineering.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:
  • Plan and execute red team engagements end-to-end, simulating real-world threat actors across cloud infrastructure (AWS, GCP), Kubernetes, CI/CD pipelines, and corporate environments
  • Build and maintain custom offensive tooling, automation frameworks, and engagement infrastructure, treating offensive operations as a software engineering problem
  • Develop custom payloads and evasion capabilities tailored to Datadog's environment and modern defensive controls (EDR, SIEM, network monitoring)
  • Improve the efficiency of offensive operations through thoughtful use of automation and AI, accelerating reconnaissance, vulnerability analysis, and reporting workflows
  • Partner with the Detection & Response team on purple team exercises to validate detection logic, improve alert fidelity, and influence threat models
  • Translate offensive findings into concrete improvements by working directly with defensive security and engineering teams to close gaps

Who You Are:
  • You have 5+ years of hands-on experience in offensive security (red teaming, penetration testing, or adversary simulation) with a track record of operating against mature, well-defended environments
  • You write production-quality code (Python, Go, or similar), can build your own tools, and automate your workflows rather than relying exclusively on off-the-shelf frameworks
  • You have deep expertise in at least a two of the following areas: macOS security, Linux security, cloud platforms (AWS, GCP, Azure), Kubernetes, or CI/CD pipelines
  • You have experience developing evasion techniques against modern defensive controls and understand how detections work from the blue team side
  • You have strong communication skills, with the ability to convey complex offensive findings clearly and effectively to both technical and non-technical stakeholders
  • You are comfortable operating with ambiguity, scoping your own work, identifying what matters most, and driving projects from prototype to deployed and validated

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$195,000-$240,000 USD

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$195,000-$240,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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