Senior Security Engineer, Vulnerability Management

Posted Yesterday
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2 Locations
Hybrid
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
Manage the vulnerability lifecycle across Datadog’s multi-cloud environment, including detection, impact assessment, prioritization, remediation, and verification. Build AI-assisted automation, tools, and workflows that reduce engineering toil and address vulnerabilities earlier in the SDLC. Analyze remediation failures, identify root causes, partner with security and engineering teams, and provide vulnerability-management expertise for SOC 2, HIPAA, PCI, FedRAMP, and ISO compliance.
Summary Generated by Built In
Senior Security Engineer, Vulnerability Management

Here at Datadog, we think about vulnerability management a little differently. We embrace open source software, recognize our role in the software supply chain, and see attackers weaponizing vulnerabilities faster than ever. 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.

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About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Skills Required

  • Experience identifying, prioritizing, and driving remediation of vulnerabilities in large software, cloud, or infrastructure environments
  • Ability to solve complex technical problems independently using one or more programming languages such as Go, Python, or Java
  • Experience with cloud-native or multi-cloud environments
  • Experience with containers or orchestration platforms
  • Experience with infrastructure as code and modern software-delivery workflows
  • Experience reproducing and validating externally reported vulnerabilities
  • Ability to make risk decisions using exploitability, exposure, technical context, and business impact
  • Experience using AI-assisted tools thoughtfully and validating their output
  • Ability to influence security, engineering, product, and compliance teams through clear communication and technical credibility
  • BS, MS, or PhD in Computer Science, Engineering, or a related scientific field, or equivalent practical experience

What the Team is Saying

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Datadog Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as comprehensive, with medical, dental, and vision plans plus added mental-health resources and wellness support. Feedback suggests virtual-care options and fitness reimbursements further strengthen this area.
  • Parental & Family Support Paid parental leave and broad family-forming benefits (e.g., fertility, adoption, surrogacy) are consistently highlighted. Feedback suggests extras like childcare help and pet-related benefits reinforce an inclusive family focus.
  • Equity Value & Accessibility Employees have access to equity via new-hire grants and a discounted Employee Stock Purchase Plan. Feedback suggests these ownership programs materially enhance total rewards for many roles.

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The Company
HQ: New York, NY
6,500 Employees
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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