Datadog

Senior Security Engineer, Vulnerability Management

Datadog$135K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in vulnerability management and remediation
  • Proficiency in programming languages such as Go, Python, or Java
  • Hands-on experience with cloud-native environments and modern software delivery workflows
  • Ability to analyze and assess risks associated with vulnerabilities
  • Experience with compliance frameworks like SOC2, HIPAA, and PCI
  • Strong communication skills for cross-team collaboration
  • BS/MS/PhD in Computer Science, Engineering, or related field, or equivalent experience

Responsibilities

  • Manage the entire vulnerability lifecycle from detection to verification
  • Develop and automate tools and workflows for scalable security solutions
  • Reduce operational burdens by implementing an automation-first approach
  • Identify root causes of vulnerabilities and remediation failures
  • Collaborate with various teams to align security needs with business objectives
  • Offer expert knowledge on vulnerability management for compliance processes

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Opportunities for continuous professional development and career pathing
  • In-house networking through mentor and buddy programs
  • Inclusive culture with access to Community Guilds
  • Participation in internal panel discussions via Inclusion Talks
  • Global mental health benefits for employees and their dependents
  • Competitive global benefits package
Full Job Description
Senior Security Engineer, Vulnerability Management

We are looking for a Senior Security Engineer who can combine vulnerability-management judgment with hands-on engineering to help us scale and improve our vulnerability lifecycle across Datadog's multi-cloud products and services.

In this role, you will turn ambiguous security problems into clear solutions, and work with engineering teams to address root causes and develop technical controls that reduce vulnerabilities earlier in the SDLC. You'll use AI and automation to help scale the overall vulnerability lifecycle across Datadog. You will use data and sound technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams to bring scalable solutions into practice.

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
  • Work across the vulnerability lifecycle from detection and impact assessment through risk-based prioritization, remediation, and verification.
  • Use AI and automation to build tools, services, and workflows that make security ideas concrete, validate them quickly, and create alignment for scalable implementation.
  • Reduce engineering toil through a "PRs, not tickets" approach, using automation to enrich findings, identify ownership, recommend or deliver fixes, and track outcomes.
  • Analyze recurring vulnerabilities and remediation failures to identify root causes and opportunities to prevent issues earlier in the SDLC.
  • Partner with SDLC Security, Product Security, platform teams, and engineering teams to balance technical constraints, business impact, and risk; communicate concerns early and pair problems with actionable options.
  • Provide evidence and subject matter expertise for vulnerability management processes and controls for multiple compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO)
Who You Are
  • You have experience identifying, prioritizing, and driving remediation of vulnerabilities in large software, cloud, or infrastructure environments.
  • You can independently solve complex technical problems using one or more programming languages such as Go, Python, or Java.
  • You have experience with cloud-native or multi-cloud environments, containers or orchestration platforms, infrastructure as code, and modern software-delivery workflows.
  • You have experience reproducing and validating externally reported vulnerabilities.
  • You use data, exploitability, exposure, technical context, and business impact to make and explain risk decisions.
  • You are comfortable making progress without a complete specification: you break problems down, test assumptions, fail fast, document tradeoffs, and adjust when new information emerges.
  • You use AI-assisted tools thoughtfully, validate their output, and can explain the reasoning behind your decisions.
  • You influence across security, engineering, product, and compliance teams through clear communication, technical credibility, and solutions that reduce friction.
  • You have a BS/MS/PhD in Computer Science, Engineering, or a related scientific field, or equivalent practical experience

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 and the ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our internal panel discussions
  • 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.

To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

#LI-Hybrid

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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