Top Software Engineer Jobs in Dublin

Develop full-stack software for CarGurus' Canadian and UK dealer-facing products. Responsibilities include designing, building, testing, deploying, monitoring, and maintaining applications using Java, Spring Boot, React, JavaScript/TypeScript, AWS, and related technologies. Collaborate with engineers and product managers, integrate third-party APIs, contribute to service-oriented architecture, participate in code reviews, and help establish engineering practices in Dublin.

Develop and maintain cross-platform consumer mobile applications using React Native, TypeScript, and JavaScript. Build reusable components, integrate REST and GraphQL APIs, implement state management, optimize performance, troubleshoot crashes, support testing and CI/CD releases, and apply accessibility and usability principles. Collaborate with product, design, QA, and engineering teams in Agile delivery environments while contributing to code reviews, experiments, and engineering standards.

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.

Develop and maintain Elasticsearch’s Inference API and plugin framework, integrating internal and external AI inference providers. Responsibilities include API and protocol design, streaming, asynchronous execution, rate limiting, configuration, billing integration, error handling, open-source contribution reviews, incident response, and comprehensive unit, REST, and rolling-upgrade testing. The role requires strong Java expertise, low-level concurrency knowledge, API design skills, and collaboration across distributed teams.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Build and operate cloud-native infrastructure security services used across the engineering organization. Responsibilities include designing distributed systems, improving scalability, reliability, performance, observability, and security, developing automation and tooling, participating in code and design reviews, supporting incident response and on-call operations, and collaborating with platform and product engineers. The role requires production experience with cloud-native systems, Python or Go, AWS, containers, Kubernetes, and secure multi-tenant architectures.

Develop and deliver full-stack web features using Microsoft technologies, .NET microservices, React, and modern JavaScript/CSS. Responsibilities include solution design, proof-of-concept development, implementation, testing, deployment, monitoring, code reviews, stakeholder communication, and mentoring junior engineers. The role also contributes to CI/CD, infrastructure, observability, and automated testing within an Agile development environment.

Designs, builds, deploys, and operates AI-powered systems that automate Workday implementation tasks. Integrates LLM and machine-learning capabilities into production products, develops reliable infrastructure and monitoring, improves performance and cost efficiency, and collaborates with product, data science, implementation, partner, and platform teams. The role also helps establish engineering standards for a growing AI discipline.

Lead a software engineering team building scalable AWS-based data integration and warehousing solutions. Design and deliver ETL/streaming pipelines (Spark, PySpark/Scala, Kafka), implement IaC and CI/CD, adopt enterprise AI-assisted development practices, and collaborate with cross-functional teams to ensure secure, high-performance data platforms.

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

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.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and RESTful API solutions, conduct feasibility and performance analysis, debug server-side calls, work with databases and cloud-native technologies, support quality processes, document systems, and collaborate with distributed cross-functional Agile teams.

Lead development of high-performance fraud management solutions, including real-time transaction processing systems, web applications, web services, and vendor integrations. Responsibilities include proofs of concept, detailed design, software development, implementation support, functional and technical testing, production support, and integration with Mastercard processing technologies. The role collaborates with architects, developers, analysts, project managers, business partners, and technology teams to deliver maintainable solutions.

Design, develop, deploy, and operate highly scalable, low-latency distributed authentication services. Build APIs, real-time transaction processing, and decisioning capabilities while contributing to cloud modernization, observability, automation, and CI/CD. Troubleshoot production issues, improve reliability with SRE partners, apply secure coding practices, collaborate on fraud intelligence solutions, influence architecture, 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, evaluate technical solutions, conduct performance testing, troubleshoot server-side integrations, and work with cross-functional Agile teams. Responsibilities also include database design, cloud-native development, quality assurance, project metrics, documentation, and process improvement.

Designs, develops, deploys, and operates scalable, low-latency distributed systems for Mastercard authentication and fraud decisioning products. Responsibilities include API and real-time transaction development, architecture, cloud modernization, CI/CD, testing, observability, production troubleshooting, security, reliability improvements, cross-functional collaboration, and mentoring junior engineers.

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

Develops high-performance fraud management technology, including transaction-processing systems, web applications, web services, and fraud-scoring integrations. Responsibilities include proof-of-concepts, detailed design, software development, implementation support, functional and technical testing, and production support. The role collaborates with architects, developers, analysts, project managers, and business partners to deliver scalable, secure, maintainable solutions aligned with Mastercard standards.

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.

Develops, tests, implements, documents, maintains, and supports secure, scalable Java applications for Mastercard’s InControl virtual card platform. Designs RESTful APIs, evaluates technical solutions, performs feasibility and performance analysis, supports cloud-native development, collaborates with cross-functional Agile teams, and contributes to quality, security, documentation, metrics, and process improvements.

Develops high-performance fraud management software, including real-time transaction processing systems, web applications, web services, and vendor integrations. Responsibilities include proof-of-concepts, detailed design, development, implementation support, functional and technical testing, and production support. The role requires integration with Mastercard payment-processing technologies and collaboration with architects, developers, analysts, project managers, and business partners.

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.

Develop and support high-performance fraud management technology, including real-time transaction processing systems, web applications, web services, and vendor integrations. Responsibilities include proofs of concept, detailed design, development, implementation support, functional and technical testing, production support, and collaboration with architects, developers, analysts, project managers, and business partners.

Develop, test, implement, document, maintain, and support secure, scalable Java applications for Mastercard’s InControl virtual card platform. Design RESTful APIs, evaluate technical solutions, conduct performance testing, troubleshoot server-side integrations, and contribute to database design. Collaborate with cross-functional teams using Agile practices while meeting deadlines, maintaining quality standards, documenting software, and supporting project metrics and continuous process improvement.