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Senior Security Engineer, Vulnerability Management

Join Datadog as a Senior Security Engineer to enhance vulnerability management across multi-cloud products using AI and automation.

Location
Boston, Massachusetts, USA; New York, New York, USA
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 3 days ago

AI in the day-to-day

You’ll use AI and automation to help scale the overall vulnerability lifecycle across Datadog.

Requirements

Education
Bachelor's degree

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

Education Budget Equity/Stock Options Remote Work Mental Health Benefits

Joblaze summary

In the role of Senior Security Engineer for Vulnerability Management at Datadog, the individual will focus on enhancing the vulnerability lifecycle by collaborating with engineering teams to identify and mitigate security risks. Proficiency in programming languages like Go, Python, or Java, along with experience in cloud-native environments, is essential for success. This position is well-suited for seasoned professionals who can navigate complex technical challenges and communicate effectively across various teams. Datadog fosters a collaborative culture, emphasizing the importance of teamwork and creativity in addressing security issues.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Datadog's careers page October 28, 2026.
  • Python appears in 36.9% of 616 comparable senior security roles; containers appears in 0.6% of 616 comparable senior security roles.

Quick facts

Is the Senior Security Engineer, Vulnerability Management role remote?
It's hybrid — Datadog expects some on-site time in Boston, Massachusetts, USA; New York, New York, USA.
Where is the role based?
Datadog is hiring for this position in Boston, Massachusetts, USA; New York, New York, USA.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, Automation, Go, Java, Multi-cloud, Python.
What seniority level is this role?
Datadog targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Security Engineer, Vulnerability Management role at Datadog.

From the original posting

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
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

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:
$192,000—$240,000 USD

About Datadog:

Standard company text repeated across Datadog's postings is omitted here.

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