Dun & Bradstreet
Website:
dnb.com
Job details:
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The Senior Product Security Engineer designs, implements, and continuously improves secure-by-design capabilities across the software development lifecycle, with emphasis on application security, API security, software supply chain security, cloud-native product security, and cyber resilience.
The role serves as a senior technical contributor, leading complex reviews and cross-team initiatives while translating product security risk into scalable engineering patterns, automated controls, measurable remediation plans, and secure adoption guidance for emerging technologies.
Key Responsibilities:
Design, implement, and mature Product Security capabilities across application security, API security, software supply chain security, secure SDLC, cloud-native workloads, and resilience engineering.
Lead threat modeling, secure architecture reviews, design assessments, and control recommendations for critical products, platforms, APIs, data flows, third-party integrations, and customer-facing services.
Drive adoption of secure design patterns and resilience expectations across SDLC, DevSecOps, CI/CD, release, and operational readiness processes.
Lead software supply chain improvements involving SCA, SBOM, build pipeline hardening, artifact integrity, secrets prevention, code signing, build provenance, and open-source risk.
Perform application and API security assessments utilizing SAST, DAST, SCA, code review findings, API analysis, and remediation validation activities.
Develop scalable security patterns, reference architectures, guardrails, and automation that support engineering velocity.
Define and guide security controls for AI-enabled products, copilots, autonomous agents, retrieval architectures, model and tool permissions, agent identity, data access, logging, monitoring, and abuse-case testing.
Collaborate with IAM, Data Security, Cloud Security, and Security Operations teams to align product security requirements with enterprise security standards and control objectives.
Lead risk-based triage, validate exploitability and business impact, improve remediation quality, and drive reduction of recurring vulnerability classes.
Lead or support in resilience activities including application risk reviews, incident investigations, tabletop exercises, resilience testing, and post-incident improvement efforts.
Research emerging threats, vulnerabilities, attack techniques, and security technologies to improve product security capabilities and engineering practices.
Define and communicate metrics, trends, control maturity, remediation progress, and measurable risk reduction to technical leaders and senior stakeholders.
Mentor engineers, influence design decisions without direct authority, and lead cross-functional Product Security initiatives.
Promote secure development practices through engineering collaboration, documentation, security guidance, and knowledge sharing.
Key Requirements:
Experience in application security, product security, software security, DevSecOps, cloud security, or related cybersecurity disciplines.
Experience with SAST, DAST, SCA, secrets detection, container scanning, IaC scanning, and remediation validation.
Strong understanding of software supply chain security, including dependency governance, SBOM, open-source risk, CI/CD controls, artifact integrity, and secure release practices.
Experience securing APIs and cloud-native environments, including authentication, authorization, containers, Kubernetes, microservices, and serverless architectures.
Understanding of AI security risks, including prompt injection, data leakage, retrieval architectures, agent identity, model and tool permissions, logging, and monitoring.
Experience with Python, PowerShell, REST APIs, Terraform, CI/CD platforms, policy-as-code, or related automation.
Knowledge of OWASP, NIST, ISO 27001, PCI-DSS, and related standards. Relevant security or cloud certifications are preferred.
Strong experience leading threat modeling, secure architecture reviews, abuse-case analysis, and risk-based remediation for complex systems.
Ability to translate complex technical risk into scalable requirements, reference patterns, remediation strategies, metrics, and senior-leadership narratives.
Ability to operate independently, mentor others, influence across organizational boundaries, and drive enterprise outcomes.
This position internally titled as Senior Security Engineer
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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