Top Cyber Security Jobs in Dublin

Lead security architecture and strategy for Mastercard's blockchain payment platforms. Drive threat modeling, risk assessments, secure-by-design practices, and embed security into CI/CD, APIs, cloud and blockchain components. Advise and mentor engineering teams, liaise with product and regulatory stakeholders, and ensure compliance with SOC 2, PCI DSS, DORA and industry frameworks.

Lead security architecture, risk assessments, and threat modeling for Mastercard's blockchain platforms. Define security requirements, embed security into CI/CD, cloud, APIs and blockchain components, guide compliance (SOC2/PCI/DORA/CRI), mentor engineers, and advise stakeholders on secure-by-design implementations and remediation strategies.

Lead security architecture and roadmap for Mastercard's blockchain payment platforms. Perform threat modeling, risk assessments, and security design reviews. Embed security into CI/CD, APIs, cloud and blockchain components. Advise engineering and product teams, mentor engineers, liaise with stakeholders, and ensure compliance with regulatory and industry frameworks.

Lead security strategy and architecture for Mastercards blockchain platforms. Drive threat modeling, risk assessments, and security-by-design for high-availability systems. Embed security into CI/CD, APIs, cloud and blockchain components, partner with engineering and product teams, ensure compliance with regulatory frameworks, and mentor security engineers.

Lead security architecture and strategy for Mastercard's blockchain payments platforms. Drive threat modeling, risk assessments, secure-by-design practices, embed security into CI/CD, partner with engineers and product teams, and ensure compliance with regulatory/security frameworks.

Lead and scale a global, AI-native Solutions Engineering organisation (~15 people). Set strategy, build playbooks for mid-market and enterprise motions, enable partners, coach leaders, influence product and GTM, and ensure repeatable, production-ready technical outcomes for complex enterprise customers.

The Lead Security Engineer advocates secure design practices within Mastercard, leading complex security initiatives, providing expert guidance, and ensuring compliance with security policies and standards.

As the Lead Program Security Engineer, you'll ensure security within Mastercard's Data and AI initiatives by implementing secure practices, architecture, and risk management across teams and products.

Serve as primary security advisor for Data Commercialization and AI programs. Embed security into SDLC, translate policies into guidance, lead design/code and threat-model reviews, drive governance and vulnerability management, partner with architects and BSOs, and improve protections for sensitive data and ML models through automation and standardization.

Lead security engineer advising product and operational teams on secure design, review processes, and standards. Lead security for large global initiatives, document and enhance security procedures, recommend solutions to meet security and regulatory requirements, and present technical/business security guidance.

Lead security engineer advising product and program teams on secure design, standards, and reviews. Lead cross-functional global initiatives, document security procedures, present findings, recommend solutions meeting security and regulatory requirements.

Lead security engineer advising product and operational teams on secure design, documenting and enhancing security standards, leading large cross-functional initiatives, presenting technical guidance, and recommending solutions to meet security and regulatory requirements. Role requires deep knowledge in web security, cryptography, encryption protocols, security tooling, automation, scripting, and Linux administration.

Lead security engineer advising product and operational teams on secure design, conducting security reviews, documenting and improving security standards, presenting technical guidance, and leading security roles on large, cross-functional global initiatives to meet security and regulatory requirements.

Lead security advocate for Data Commercialization and AI programs. Advise product and engineering teams on secure design, translate security policies into actionable guidance, lead security reviews and governance (threat modeling, code/design reviews, 3rd-party assessments), embed security in SDLC and CI/CD, and drive protection of sensitive data and ML models through automation and standards compliance.

Lead security engineer advising product and operational teams on secure design, driving security reviews and standards, documenting enhancements, presenting solutions, and leading security for complex global initiatives to meet security and regulatory requirements.

Lead security partner for Data Commercialization and AI programs. Advise product and engineering teams on secure design, embed security in the SDLC, lead security reviews (threat models, architecture, code), translate policies into actionable controls, and improve protections for sensitive data and ML models through tooling, automation, and risk management.

Lead security advocate for Data Commercialization and AI initiatives: advise product and engineering teams on secure design, enforce security governance (threat modeling, architecture/code reviews, vulnerability management), translate policies into actionable controls, embed security in SDLC/DevSecOps, and drive protection of data and ML models across cloud, data pipelines, and AI solutions.

Lead security advocacy for Data Commercialization and AI programs: advise on secure design, translate policies into actionable controls, lead security reviews (threat models, code/design reviews), embed DevSecOps/CI-CD controls, drive vulnerability management, and promote security-first culture across product and engineering teams.

Lead Security Engineer in the Business Security Enablement guild advising product and operational teams on secure design, driving security reviews, documenting and enhancing standards, presenting technical guidance, leading security for large global initiatives, recommending secure solutions to meet regulatory requirements, and implementing automation, scripting, and Linux-based security administration.

Lead security partner for Data & AI programs who advises product and engineering teams on secure design and delivery, translates policies into actionable controls, leads threat modeling and architecture/code reviews, drives DevSecOps and vulnerability management, and champions data/AI protection, cryptography, and regulatory compliance across global initiatives.

Lead security partner for Data Commercialization and AI programs. Advise on secure design, embed security in SDLC, lead threat modeling and architecture reviews, enable DevSecOps, manage vulnerabilities, and drive security standards, training, and automation across data and AI initiatives.

Lead security engineer advising product and ops teams on secure design, reviewing and improving security standards and procedures, leading security for large global initiatives, presenting technical recommendations, and implementing cryptographic, network, and systems security controls while driving automation and process improvements.

Lead the Business Security Enablement guild to advise on secure design, lead large global initiatives, document and enhance security standards, present technical recommendations, and ensure compliance with security policies and regulatory requirements.

Lead security engineering for Data & AI initiatives: advise product and engineering teams, translate security policies into actionable controls, lead security reviews and threat modeling, embed security into SDLC and CI/CD, drive vulnerability management, and promote security-first culture across global teams.

Lead security partner for Data Commercialization and AI programs: advise on secure design, translate policies into actionable guidance, lead security reviews (threat models, code/design reviews), embed controls in SDLC, support vulnerability management, and drive security automation and standards across data and AI platforms.