Top Software Engineer Jobs in Dublin

Lead the architecture and hands-on development of secure, scalable Open Banking services. Design microservices and cloud-based systems, participate in coding and architecture reviews, guide technical initiatives, mentor engineers, influence product and business decisions, and drive enterprise architectural alignment. Apply secure development practices, cryptography, compliance knowledge, and vulnerability management to deliver resilient financial services platforms.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, microservices, and event-driven applications. Collaborate with cross-functional Agile teams, contribute to architecture and technical designs, ensure quality through testing and CI/CD, troubleshoot production issues, and drive automation and engineering improvements. Apply AI-assisted development practices while supporting high-performance, mission-critical payment decisioning systems.

Lead the architecture and hands-on development of secure, scalable Open Banking services. Design systems, conduct architecture reviews, collaborate with product and business teams, mentor engineers, guide technical initiatives, optimize architectural decisions, promote reuse, and ensure compliance with financial-services security and regulatory requirements.

Lead the architecture and hands-on development of secure, scalable Open Banking services. Design microservices, contribute to code and architecture reviews, collaborate with product and business teams, mentor engineers, guide technical decisions, optimize systems, and promote enterprise architectural alignment. The role requires strong software engineering, cloud, security, compliance, and financial services expertise, along with experience leading technical initiatives and building high-performing teams.

Design and deliver Java-based capabilities for Mastercard’s scalable Decision Enrichments platform. Build resilient distributed systems, REST APIs, microservices, and event-driven applications; contribute across architecture, implementation, testing, deployment, and operations. Collaborate with product, architecture, quality, and engineering teams, troubleshoot production issues, improve automation and engineering practices, and produce technical documentation. Apply AI-assisted development practices while helping shape secure, high-performance decisioning platforms for fraud prevention, risk management, and payment intelligence.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient, secure distributed systems, APIs, microservices, and event-driven solutions; contributes across architecture, implementation, testing, deployment, and operations. Collaborates with product, architecture, quality, and engineering teams; troubleshoots production issues, improves platform capabilities, documents technical designs, and applies AI-assisted engineering practices. The role supports real-time decisioning for fraud prevention, risk management, payment intelligence, and customer experiences.

Design and deliver Java-based capabilities for Mastercard’s Decision Enrichments platform. Build scalable, resilient distributed systems, REST APIs, microservices, and event-driven applications. Collaborate with product, architecture, quality, and engineering teams throughout design, testing, deployment, and operations. Troubleshoot production issues, improve platform architecture, apply engineering best practices, and use AI-assisted development practices. The role requires technical leadership, enterprise-scale software expertise, and a focus on secure, high-performance payment decisioning systems.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, microservices, and event-driven applications. Collaborate with product, architecture, quality, and engineering teams throughout design, development, testing, deployment, and operations. Troubleshoot production issues, improve platform architecture, apply automation and DevOps practices, document technical designs, and use AI-assisted engineering across the software development lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds secure, resilient distributed systems, RESTful microservices, and event-driven applications; contributes to architecture, testing, deployment, observability, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, improves platform capabilities, and applies AI-assisted engineering practices. The role requires hands-on development, technical leadership, enterprise-scale engineering, and continuous improvement.

Software Developer Intern joining Rakuten Kobo’s Global Delivery team to help develop, test, and deliver high-quality software services. The role involves collaborating with developers and testers, working independently on assigned tasks, and contributing to software delivery for internal and external users. Required skills include React, object-oriented programming, T-SQL databases, web technologies, and source control systems. Knowledge of server-side web technologies and ORM frameworks is preferred.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

Design, build, and own features and services for Klaviyo's large-scale messaging platform. Drive performance, scalability, monitoring, and reliability for a pipeline that delivers hundreds of millions to billions of messages. Collaborate across teams, mentor engineers, and participate in hiring and technical process improvements.

Design, develop, test, and maintain C/C++ client-side SDKs, middleware, and system software for PlayStation experiences. Build APIs, platform capabilities, developer tools, documentation, and sample applications. Translate requirements into technical designs, own features through delivery, troubleshoot performance and reliability issues, and collaborate with product, program, quality, and global engineering teams.

Build and own software services and platforms supporting payments, risk management, merchant experiences, and financial infrastructure. Develop APIs, user-facing experiences, and scalable systems while collaborating with engineers, designers, and product managers. Contribute to architecture, analyze experiment results, uphold engineering standards, and solve complex problems across varied technologies and codebases.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Lead the architecture and delivery of scalable, secure cloud-native platforms across public clouds. Define reference architectures, engineering standards, governance controls, observability practices, and reusable developer-platform capabilities. Drive responsible adoption of generative and agentic AI in engineering workflows, including validation, auditability, security, and data protection guardrails. Partner with architecture, engineering, product, security, risk, and business teams while mentoring technical talent and setting enterprise architecture direction.

Develop and optimize software solutions for industrial additive manufacturing in an agile team. Responsibilities include designing algorithms, data structures, and software subsystems; debugging complex issues; benchmarking and improving performance, stability, efficiency, and scalability; and contributing to software quality and documentation. The role uses Vue.js, TypeScript, Python, C++, MongoDB, Docker, and automated development tools.

Design, develop, and maintain secure, scalable ServiceNow platform solutions. Build integrations (REST), scripts, custom widgets, and automation; apply CI/CD and observability practices; use enterprise AI-assisted tools responsibly; collaborate in agile teams and mentor junior developers.

Leads end-to-end software engineering for analytics platforms and applications, including architecture, development, testing, deployment, support, and technical direction. Builds scalable AI-powered solutions and large-scale data pipelines with Python, PySpark, and SQL. Evaluates emerging AI tools, maintains GitHub Actions CI/CD, supports cloud development, conducts reviews, creates prototypes, documents systems, and partners with product, architecture, data science, and engineering teams.

Design, build, and operate enterprise-scale infrastructure platforms. Write and review production code, diagnose production issues, participate in on-call rotations, apply AI-assisted development, and improve scalability, reliability, security, and cost. Collaborate with stakeholders, decompose problems, measure impact, and contribute to platform-level technical decisions in a greenfield Dublin engineering hub.

Build and deploy software solving complex, high-impact problems across Stripe’s financial infrastructure. Collaborate on coding projects, learn unfamiliar systems, communicate technical work clearly, participate in code reviews, safely update production systems, and use AI tools with sound engineering judgment. Engineers may work across frontend, backend, infrastructure, and large codebases while contributing to both independent and team projects.

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.