Top Software Engineer Jobs in Dublin

Lead development of high-performance, Java-based fraud and identity decisioning platform. Own full SDLC, design scalable solutions, enforce best practices, mentor engineers, troubleshoot production incidents, run PoCs, and collaborate with architects, product owners and vendors to meet SLAs and security/PCI standards.

Lead a team building high-performance, low-latency Java-based fraud and identity decisioning systems. Own full SDLC, architecture, design, testing, deployments, incident troubleshooting, mentor engineers, run PoCs, and ensure compliance with Mastercard and PCI standards.

Lead a team building high-performance, low-latency Java-based fraud and identity decisioning systems. Accountable for full SDLC, architecture collaboration, automated testing/delivery/monitoring, production incident troubleshooting, mentoring engineers, PoCs, vendor selection, and ensuring compliance with Mastercard and PCI standards.

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

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Seeking software engineers with at least 2 years of production backend experience, interested in crypto and blockchain technologies, for roles with portfolio companies.

Own and build elastic.co features end-to-end across the full stack: React front-end components, backend services, CI/CD pipelines, performance instrumentation, monitoring, and security triage. Collaborate with product, design, and other engineers, perform code reviews, resolve production issues, and participate in on-call rotations for a high-availability, scalable web platform.

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

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

Develop and maintain the Prime Sequel Platform's P&L allocation engine. Design scalable Java microservices, perform feasibility analysis, lead SDLC phases, ensure performance and compliance, mentor junior engineers, and collaborate with global stakeholders to deliver robust, production-grade financial systems.

10-week onsite software engineering internship working on design, development and optimization of low-latency, high-performance trading systems and tools. Interns receive training, mentor-supported projects focused on scalability, performance, and data handling, plus social and workplace perks.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, LLMs, and AI-assisted workflows to improve engineering productivity. Build reusable services, ensure security, reliability, and observability, and drive CI/CD, automation, and developer experience across cloud-native environments.

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 and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, LLMs, and AI-assisted workflows to improve engineering productivity. Deliver scalable, secure, observable services in cloud-native environments and drive reusable frameworks, CI/CD automation, and engineering best practices.

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.

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 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.

Build scalable, production-grade AI and agentic applications and developer platforms. Design reusable services and frameworks, improve engineering productivity via AI-assisted workflows, ensure reliability, security, and observability, and partner across product, data science, and engineering to take AI-enabled solutions from prototype to production.

Design and build scalable production systems and developer platforms that leverage generative AI and agentic workflows. Implement cloud-native services, CI/CD, automation, observability, and security to productionize AI-enabled solutions. Partner with product and data science to deliver reusable frameworks, improve engineering productivity with AI-assisted workflows, and drive architecture and best practices across teams.

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 and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, AI-assisted workflows, and automation to improve engineering productivity and delivery. Ensure systems are secure, observable, scalable, and production-ready while collaborating across product, data science, and engineering teams.

Design and build production-grade agentic AI applications and platform capabilities. Apply AI patterns to improve engineering productivity, automate PDLC/SDLC, ensure reliability/security/governance, partner cross-functionally, and deliver reusable frameworks and services for scale.

The Senior Software Engineer will develop observability tools for MongoDB, enhancing user insight into database performance and reliability while tackling large-scale system challenges.

Design and build automated data migration solutions at cloud scale for MongoDB Atlas. Collaborate with teams to enhance features, solve technical challenges, and mentor others.