Top Software Engineer Jobs in Dublin

Design, develop, deploy, and operate highly scalable, low-latency distributed authentication services. Build APIs, decisioning systems, and real-time transaction components while driving architecture, cloud modernization, observability, CI/CD, security, and operational reliability. Collaborate with Product, Data Science, SRE, and engineering teams to improve fraud detection and authentication performance. Troubleshoot production issues, contribute to technical planning, mentor engineers, and promote software engineering best practices.

Designs, develops, tests, deploys, and operates scalable, low-latency distributed services for Mastercard authentication and fraud decisioning products. Responsibilities include API and microservice development, architecture, cloud modernization, CI/CD, observability, production troubleshooting, reliability improvements, secure coding, cross-functional collaboration, and mentoring junior engineers.

Designs, develops, deploys, and operates scalable, low-latency distributed authentication and fraud decisioning services. Responsibilities include API and microservices development, architecture, cloud modernization, CI/CD, testing, observability, production troubleshooting, reliability improvements, secure coding, and collaboration with Product, Data Science, and SRE teams. The role also mentors engineers, influences technical direction, and supports enterprise-scale authentication platforms.

Design, develop, deploy, and operate highly available, low-latency distributed services for Mastercard authentication and fraud decisioning products. Own features from design through production, develop APIs and real-time transaction components, improve cloud adoption and observability, troubleshoot production issues, strengthen CI/CD and operational practices, collaborate with SRE, Product, and Data Science teams, and mentor engineers.

Design, develop, deploy, and operate highly scalable, low-latency distributed authentication and decisioning services. Build APIs and real-time transaction systems, contribute to cloud modernization and automation, troubleshoot production issues, improve reliability and observability, implement secure coding practices, and collaborate with Product, Data Science, SRE, and Engineering teams. Mentor junior engineers and influence architecture and technical direction.

Design, develop, deploy, and operate scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Responsibilities include building Java services and APIs, driving architecture and modernization, improving CI/CD and observability, troubleshooting production issues, partnering with SRE and Data Science teams, and mentoring engineers.

Design, develop, test, deploy, and operate highly scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Own features from technical design through production rollout, develop APIs and real-time transaction services, improve cloud adoption and observability, troubleshoot production issues, and partner with SRE, Data Science, Product, and engineering teams. Mentor junior engineers and promote secure, reliable software engineering practices.

Design, develop, deploy, and operate highly scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Build APIs, real-time transaction services, and microservices; contribute to cloud adoption, observability, automation, and CI/CD. Troubleshoot production issues, improve reliability and security, collaborate with product, data science, architecture, and SRE teams, and mentor junior engineers.

Leads full-stack software engineering for employee workforce technology platforms. Responsibilities include designing, developing, testing, reviewing, and operationalizing secure, scalable production software; guiding engineers, contractors, and vendors; promoting automated testing and secure coding; and governing responsible AI-assisted development. The role influences product design, technical operations, engineering standards, reusable frameworks, and automation while coaching senior engineers and serving as a technical subject matter expert.

Lead and coach a team building ServiceNow solutions: design, code, test, deliver applications, improve processes, adopt AI-assisted engineering practices, ensure secure, scalable integrations, and drive SDLC/ITIL-aligned delivery.

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Develops and delivers leading-edge AI capabilities for engineering teams within Fidelity Architecture and Engineering. The role involves building AI-driven workflows, using AI tooling, applying software engineering best practices, exploring emerging technologies, contributing to open-source initiatives, and collaborating across multidisciplinary teams.

Design, build and ship native Android features in Kotlin for an AI-enabled neobank; integrate backend APIs and on-device ML, improve performance, stability and UX, collaborate with product and design, and use analytics to iterate on AI-assisted financial experiences.

Leads software engineering for employee platforms, providing technical direction, designing and developing secure production systems, reviewing code, and ensuring operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, promotes automation, and serves as a subject matter expert. Requires advanced Python expertise, cloud-native experience, independent problem-solving, and leadership across engineering teams. Node.js and React experience is preferred.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Design, develop, deploy, operate, and optimize large-scale distributed messaging, streaming, caching, and NoSQL platforms. Responsibilities include building Kafka, Redis, and RabbitMQ services; developing automation, observability, and client libraries; managing production infrastructure across AWS, GCP, private cloud, Kubernetes, OpenStack, and bare metal; improving resiliency and performance; evaluating cloud-native technologies; and participating in on-call support.

Design, develop, deploy, and operate large-scale distributed messaging, streaming, caching, and NoSQL platforms. Build core software modules, client libraries, observability tools, automation, and cloud infrastructure across Kubernetes, private cloud, AWS, and GCP. Optimize performance, resiliency, security, and operational excellence while participating in on-call support and leading product capabilities from conception through maintenance.

Design and deliver internal systems, Go services, APIs, data models, dashboards, visualizations, and LLM-powered workflow features. The role includes writing specifications, estimating work, code reviews, testing, documentation, security, performance, accessibility, and collaboration with nontechnical stakeholders. The engineer will handle sensitive people data, mentor colleagues, and improve team practices in a globally distributed environment.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Lead the architecture and technical roadmap for Stripe Tax, driving complex multi-team initiatives from exploration through production. Design scalable, resilient systems and data models for global tax compliance, emphasizing correctness, auditability, security, availability, and interoperability. Partner with engineering, product, legal, operations, and business leaders to translate evolving tax requirements into platform capabilities. Provide hands-on technical leadership, make strategic decisions, improve operational excellence, and mentor engineers.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.

Design, develop, and maintain high-performance consumer-facing web applications using React, TypeScript, and JavaScript. Lead frontend architecture, performance optimization, accessibility, reusable component development, API integration, experimentation, production troubleshooting, and CI/CD support. Collaborate with Product, Design, QA, Platform, and Architecture teams while mentoring engineers, conducting code reviews, supporting Agile delivery, and improving engineering quality and operational excellence.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.