Top Tech Jobs & Startup Jobs in Dublin

Design, build, and maintain automation services, APIs, and lightweight UIs to automate access-management processes and compliance workflows. Integrate enterprise systems (e.g., NICE, Siebel, Genesys), implement RBAC and JML lifecycle logic, create audit-ready reporting pipelines, apply AI/ML for anomaly detection, and collaborate with InfoSec, compliance, and platform teams to ensure secure, auditable access governance.

Lead incident response for critical production systems, triage and coordinate multi-team mitigation, improve availability through monitoring, automation, and post-incident improvements, and act as senior technical escalation on-shift.

Lead the architecture and development of scalable internal security software, including asset graphs, multi-cloud ETL pipelines, event-driven guardrails, security data platforms, and secure AI integrations. Establish engineering standards for CI/CD, testing, version control, and dependency management. Solve complex distributed-systems challenges, integrate cloud and enterprise platforms, mentor engineers, and collaborate with InfoSec, infrastructure, and IT teams.

Manage indirect tax accounting and compliance reporting across European entities, including VAT reporting, reconciliations, journal entries, variance analysis, and month-end close. Partner with tax, finance, accounting, technology teams, and external providers on audits, statutory reporting, acquisitions, system changes, and process improvements. Maintain accurate general ledger data and develop stronger, more automated controls and workflows.

Lead security integration for acquired businesses: manage application, infrastructure, and vendor security programs; coordinate IAM/SSO onboarding, infrastructure hardening, vulnerability management, CSPM and PCI activities; run security design reviews; track risks and progress; and communicate outcomes to technical and business stakeholders.

Design and build cloud-scale identity and authorization services, high-performance policy engines, and secure microservices. Integrate AI-assisted engineering and AI-driven capabilities to improve policy intelligence, anomaly detection, and operational automation. Partner across Identity, Platform, Security, and Infrastructure to ensure scalability, reliability, observability, and secure real-time access decisions.

Design and build cloud-scale directory services, authorization platforms, and policy engines. Develop scalable APIs and microservices, implement RBAC/ABAC/PBAC models, write production-ready code with CI/CD and observability, troubleshoot production issues, collaborate across Identity, Platform, Security, and Infrastructure, and adopt AI-assisted tools to automate and improve engineering productivity.

Build and maintain scalable full-stack applications using React and Java/Spring Boot. Develop RESTful APIs, containerize services with Docker/Kubernetes, collaborate with Product/UX/Data/DevOps, and ensure quality via testing and code reviews.

Work on data infrastructure and cloud ML projects to improve decision-making. Build and evaluate statistical and machine learning models, support experimentation and causal inference (A/B testing, Bayesian methods), optimize large-scale SQL queries, and collaborate cross-functionally to deploy ML solutions like bot detection and customer profiling.

This role involves building and managing scalable distributed database and storage systems, collaborating with teams to design optimal solutions, and guiding junior engineers.