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Senior Product Security Engineer

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Onsite

Senior Product Security Engineer

Dun & Bradstreet

Senior Product Security Engineer

Skills

PythonDevOpsMicroservicesCybersecurityAIKubernetesSupply ChainTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


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.

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