Senior Security Engineer, Vulnerability Management

Datadog is looking for a Senior Security Engineer to combine vulnerability-management judgment with hands-on engineering to scale and improve the vulnerability lifecycle across Datadog's multi-cloud products and services. You will turn ambiguous security problems into clear solutions, 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 scale the vulnerability lifecycle, use data and technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams.

• 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 and validate them quickly.
• 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 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.
• Provide evidence and subject matter expertise for vulnerability management processes and controls for compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO).

• Experience identifying, prioritizing, and driving remediation of vulnerabilities in large software, cloud, or infrastructure environments.
• Ability to independently solve complex technical problems using one or more programming languages such as Go, Python, or Java.
• Experience with cloud-native or multi-cloud environments, containers or orchestration platforms, infrastructure as code, and modern software-delivery workflows.
• Experience reproducing and validating externally reported vulnerabilities.
• Use data, exploitability, exposure, technical context, and business impact to make and explain risk decisions.
• Comfortable making progress without a complete specification, breaking problems down, testing assumptions, and adjusting when new information emerges.
• Use AI-assisted tools thoughtfully, validate their output, and explain reasoning behind decisions.
• Influence across security, engineering, product, and compliance teams through clear communication and technical credibility.
• BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program
• Inclusive company culture and Community Guilds (employee resource groups)
• Access to Inclusion Talks
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

The reasonably estimated yearly salary for this role at Datadog is $192,000—$240,000 USD.

Apply via the Datadog careers page for this role.