Top Tech Jobs & Startup Jobs in Dublin

Lead enterprise security architecture efforts: execute security roadmap, advise on secure design and cryptography, partner with application teams for compliance, define security requirements/guidelines for on-prem and cloud, research emergent technologies, and provide technical architecture and governance guidance.

Lead product strategy and roadmap for an enterprise, cloud-native AI/data platform enabling a federated data mesh. Own capabilities like ingestion, lakehouse storage, orchestration, observability, FinOps, and data product enablement. Partner with engineering, governance, security, and business stakeholders to deliver scalable, compliant self-service platform features, drive adoption, and measure outcomes.

Lead modernization of fraud-rule platforms and large-scale migrations. Provide technical leadership across cross-functional teams, design compliant scalable microservice architectures, mentor engineers, scope and estimate projects, and ensure high-throughput, low-latency global platform operations. Apply multi-language development (Go, Python, Java), DevOps practices, and familiarity with GenAI/LLMs for fraud rules.

Lead an AI engineering team to develop, fine-tune, and deploy foundation models and generative AI for high-impact use cases. Drive end-to-end delivery from problem definition to production, ensure data and MLOps readiness, establish evaluation and responsible AI practices, and provide technical leadership and stakeholder alignment to deliver secure, scalable, measurable solutions.

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 modernization of fraud rules/engines and large-scale migrations. Provide technical leadership across cross-functional teams, design and implement scalable, low-latency microservice platforms, mentor engineers, ensure architecture/security/compliance, and apply AI/LLM familiarity for fraud solutions while driving engineering excellence and reliable operations.

Design, build, and deploy enterprise AI solutions using LLMs, RAG, and vector search. Architect scalable, secure cloud-based systems (AWS, Databricks, Cloudera), develop APIs and microservices, optimize model performance, and ensure data governance and compliance. Mentor engineers and collaborate cross-functionally to deliver production-ready AI applications.

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 architecture, build, and operate production-grade AI systems and platforms. Translate business intent into scalable, secure AI solutions, drive technical strategy, mentor senior engineers and data scientists, and own MLOps, deployment, monitoring, and lifecycle management across cloud-native environments.

Lead architecture for a global B2B payments platform: design secure, resilient, high-throughput microservices, create technical blueprints, mentor teams, ensure cloud-native standards and non-functional requirements, and collaborate with product and stakeholders to deliver production-ready solutions.