Top Software Engineer Jobs in Dublin

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.

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

Own end-to-end quality engineering for AI-powered and agentic applications, APIs, user interfaces, distributed systems, and platform services. Design automation frameworks, define AI testing strategies, integrate quality gates into CI/CD pipelines, assess performance and resilience, manage test data, drive defect resolution, and mentor engineers. Partner with engineering, product, architecture, and AI teams to improve testability, release confidence, and quality practices.

Own end-to-end quality engineering for agentic applications, intelligent workflows, APIs, user interfaces, and platform services. Design automation frameworks, test AI and distributed systems, establish CI/CD quality gates, and evaluate performance, reliability, resilience, observability, and scalability. Collaborate with engineering, product, architecture, and AI teams; conduct root-cause analysis; improve testability and release confidence; and mentor team members on automation and quality practices.

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.

Lead the design and hands-on delivery of secure, scalable Open Banking services. Drive architecture decisions, coding, reviews, and technical initiatives while collaborating with product and business teams. Mentor engineers and technical leads, conduct interviews, promote reuse, and align enterprise architecture. Apply secure development, cloud, microservices, cryptography, compliance, and vulnerability-management practices to deliver resilient financial services 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.

Own end-to-end quality engineering for AI and agentic applications, APIs, user interfaces, distributed systems, and platform services. Design automation frameworks, define AI testing strategies, integrate quality gates into CI/CD pipelines, assess performance and reliability, investigate defects, and drive root-cause resolution. Collaborate with engineering, product, architecture, and AI teams while mentoring colleagues and improving testability, release confidence, and engineering effectiveness.

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.

Own end-to-end quality engineering for AI and agentic applications, APIs, user interfaces, distributed systems, and platform services. Design automation frameworks, define AI testing strategies, implement CI/CD quality gates, assess performance and resilience, identify defects, drive root-cause resolution, and mentor engineers. Collaborate with product, engineering, architecture, and AI teams to improve testability, release confidence, and engineering effectiveness.

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.

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.

Designs, develops, tests, deploys, and operates AI-powered consumer support applications and services. Builds conversational experiences involving intent understanding, retrieval, response generation, orchestration, routing, and integrations. Develops evaluation and regression frameworks, improves reliability and performance, supports live-site operations, and uses telemetry and experimentation to address quality gaps. Collaborates with engineering, product, design, and support stakeholders while applying responsible AI, security, privacy, accessibility, and compliance practices.

Design, implement, and ship engineering and data products that transform how Windows is built and delivered. Collaborate across engineering and product teams, leverage AI and big-data solutions, influence technical direction, mentor junior engineers, and promote engineering excellence, reliability, and great user experiences.

The Software Engineer for Data Infrastructure & Acquisition will enhance data collection for AI model training, improve ingestion pipelines, and collaborate with AI scientists for optimal data usage.

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.

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 and build security solutions for MongoDB Atlas multi-cloud infrastructure, ensuring high security standards while collaborating with engineering teams.

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.