Top Software Engineer Jobs in Dublin

Develop and maintain embedded software and peripheral drivers for RISC-V SoC FPGAs, collaborate on silicon bring-up and debugging, create reference designs and examples, and resolve technical issues with silicon engineering and validation teams.

Build backend services and APIs to manage lifecycle of Qdrant Cloud clusters (provisioning, scaling, upgrades, backups, auth). Collaborate across teams, investigate production issues, and improve reliability, scalability, and usability of the cloud platform.

The role involves building self-service platform services using Go, automating operational workflows, scaling Kubernetes, and ensuring reliability in cloud environments.

The Software Engineer (AEM) will develop and support PlayStation's web applications, manage AEM projects, and collaborate with various teams while mentoring peers.

Lead design and development of low-level Linux instrumentation and eBPF-based runtime security features for detection, monitoring, and workload protection. Drive architecture, implement performance-sensitive systems, establish testing methodologies, deliver end-to-end features, and provide technical leadership and cross-team collaboration across Datadog's security products.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

The Software Engineer will develop high-quality responsive UIs for web/mobile, conduct user research, optimize applications, troubleshoot issues, and conduct code reviews.

Design, develop, and maintain high-performance, low-latency Java-based fraud detection services. Own full SDLC activities, production support, testing strategies, performance benchmarking, mentoring team members, and participating in architecture decisions and PoCs to meet SLAs and Mastercard/PCI standards.

Lead architecture and development of a cloud-native, high-volume dispute platform. Drive engineering excellence, mentoring, applying AI/automation, and partnering across teams to deliver scalable, reliable systems.

Design, develop, and maintain high-performance Java-based fraud decisioning platform components. Deliver full SDLC artifacts, support production incidents, lead design/reviews, mentor engineers, run PoCs, and ensure testing, performance and security compliance.

Design and build production-grade AI and agentic applications and platforms. Apply agentic patterns and AI tooling to improve developer productivity, automate PDLC/SDLC, ensure reliability, security, and observability, and create reusable frameworks and services across cloud-native environments.

Design and build production-grade AI and agentic applications and developer platforms. Apply agentic patterns, CI/CD, automation, and AI-assisted workflows to improve developer productivity, reliability, security, and observability. Partner across product, data science, and engineering to take AI solutions from prototype to production and create reusable services and frameworks.

Develop, design, and maintain high-performance, multi-tier fraud decision management services. Deliver full SDLC artifacts, resolve production incidents, lead PoCs and vendor selection, mentor engineers, ensure testing and PCI/security compliance, and improve processes for faster time-to-market.

Design and build scalable, production-grade AI and agentic applications and developer platforms. Apply agentic patterns and AI tooling to improve engineering productivity, reliability, security, and observability. Partner across product, data science, and engineering to take AI-enabled solutions from prototype to production, build reusable frameworks, and drive engineering standards and automation across the software development lifecycle.

Design, implement, and maintain high-performance Java-based fraud and identity decisioning services. Lead development activities across the SDLC, support production incidents, create technical artifacts, run PoCs, mentor team members, ensure test coverage and compliance with Mastercard and PCI standards, and improve processes and performance.

Design, develop, and maintain Mastercard's high-performance Java-based Decision Management Platform for fraud detection. Lead SDLC activities, implement REST/J2EE services, ensure testing and PCI compliance, support production incidents, run PoCs, mentor team members, and improve processes and performance.

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration and AI-assisted workflows, drive automation and CI/CD, ensure reliability, security, and observability, and create reusable services that improve developer productivity and scale AI-enabled solutions across the organization.

Design, develop, test and support high-performance, Java-based fraud detection services on a multi-tier platform. Lead SDLC activities, produce technical artifacts, mentor team members, resolve production incidents, ensure test coverage and compliance with Mastercard/PCI standards.

Lead design and architecture of cloud-native, large-scale distributed systems; drive engineering excellence, PDLC discipline, AI/automation in engineering, mentor engineers, and partner across teams to deliver secure, reliable platforms.

Lead architecture and development of a cloud-native, high-volume Intelligent Dispute Platform. Drive engineering excellence across development, testing, security, and reliability; apply AI and automation to improve engineering workflows; make technical decisions, mentor engineers, and partner across teams to deliver scalable, mission-critical systems.

Lead architecture and development of a cloud-native, high-volume dispute platform. Drive engineering excellence across reliability, security, testing, and PDLC. Apply AI and automation to improve engineering workflows, mentor engineers, influence cross-team technical strategy, and deliver scalable, mission-critical systems.

Design, develop, and maintain high-performance Java/J2EE services for Mastercard's Decision Management Platform. Lead full SDLC activities, implement REST services, ensure testing and performance coverage, support production incidents, mentor team members, and help select technologies and vendor solutions while following security and PCI standards.

Lead architecture and design of a cloud-native, high-volume dispute platform. Provide technical authority, drive engineering excellence, embed PDLC discipline, apply AI/automation to engineering workflows, partner across teams, and mentor engineers to deliver reliable, secure systems at scale.

Design and build production-grade, AI-enabled and agentic applications and developer platforms. Apply agentic/LLM patterns to improve engineering productivity, drive CI/CD and automation, ensure reliability, security, observability, and scalability, and create reusable frameworks and services across cloud-native environments.

Design, develop, and maintain high-performance Java/J2EE fraud-detection services on Mastercard's Decision Management Platform. Lead SDLC activities, provide production support, write tests, conduct reviews, mentor teammates, run PoCs, and improve processes and deployments.