Top Software Engineer Jobs in Dublin

Develop, test, implement, document, maintain, and support secure, scalable Java applications for Mastercard’s InControl virtual card platform. Design RESTful APIs, troubleshoot server-side integrations, conduct performance testing, work with databases and cloud-native technologies, evaluate technical solutions, and collaborate with distributed cross-functional Agile teams while meeting quality, security, and delivery standards.

Develop, test, implement, document, maintain, and support secure, scalable Java applications. Design RESTful APIs, debug server-side integrations, conduct performance testing, work with cloud-native technologies and databases, and collaborate with distributed cross-functional Agile teams while following software quality and security standards.

Develop, test, implement, document, maintain, and support secure, scalable Java applications for Mastercard’s InControl virtual card platform. Design RESTful APIs, evaluate technical solutions, debug server-side calls, perform performance testing, and work with cross-functional Agile teams. Contribute to software quality processes, documentation, project metrics, and process improvements while supporting highly available cloud-native systems.

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, 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.

Develop, test, implement, document, maintain, and support secure, scalable Java applications for Mastercard’s InControl virtual card platform. Design RESTful APIs, troubleshoot server-side integrations, evaluate technical solutions, conduct performance testing, and work with cross-functional Agile teams. Responsibilities also include database design, process improvement, quality assurance, project metrics, and compliance with Mastercard security and software engineering standards.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl platform. Design and evaluate technical solutions, build multithreaded Java applications and APIs, perform performance testing, troubleshoot server-side integrations, and work with cross-functional Agile teams. Contribute to software quality standards, process improvements, project metrics, and delivery commitments while supporting cloud-native development and database design.

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.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and Spring-based services, RESTful APIs, and database solutions; conduct performance testing, debugging, feasibility analysis, and technical research. Collaborate with cross-functional Agile teams, follow quality and security standards, support project metrics, and contribute to process improvements.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and Spring-based services, RESTful APIs, and database solutions; perform technical analysis, performance testing, debugging, and feasibility studies. Collaborate with cross-functional Agile teams, support project metrics and quality processes, document solutions, and contribute to improving engineering standards and processes.

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.

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.

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.

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, test, deploy, and operate high-throughput, low-latency distributed voice services. Collaborate with product managers and cross-functional teams, participate in Agile planning, provide on-call support, and develop scalable, reliable solutions for global production environments. The role also requires evaluating AI-generated code, using AI coding assistants, and maintaining clear technical documentation.

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.

As a Staff Software Engineer on the Inference team, you will optimize infrastructure for AI systems, tackling distributed systems challenges and enhancing performance for large-scale services.

Build and maintain large-scale inference systems serving Claude globally. Responsibilities include intelligent request routing, compute fleet autoscaling, deployment pipelines, accelerator integration, inference optimization, observability, multi-region deployments, and support for new model architectures. The role focuses on maximizing compute efficiency while enabling high-performance machine learning research infrastructure across diverse cloud platforms and hardware.

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.

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.