Top Software Engineer Jobs in Dublin

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.

Design, build, and maintain scalable software for Toast’s international mid-market restaurant customers. Deliver features end to end, collaborate with Product, Design, and Engineering, monitor outcomes, and iterate based on usage. The role involves backend and full-stack development across Java, Kotlin, React, and related technologies, use of AI-assisted development tools, and mentoring less experienced engineers through reviews and feedback.

Build and own high-quality, scalable frontend experiences for international dealer products using React and TypeScript. Collaborate with product, design, and engineering teams to design and deliver full-stack features, integrate services, ensure performance, security, and availability, troubleshoot production issues, and mentor junior engineers while helping establish the new Dublin office's engineering standards.

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 tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Leads the planning, architecture, development, and delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from concept through production, champions automation across the software lifecycle, supports secure integrations, and improves platform performance and reliability. Collaborates with global engineering, data, product, operations, and customer teams while providing technical leadership for Emerging Data Signals solutions.

Designs and builds agentic AI systems, multi-agent workflows, tool-using agents, and scalable production software. Evaluates AI models, applies emerging AI standards, and develops integrations using modern software engineering technologies. Acts as an AI developer advocate through demos, workshops, and executive presentations while mentoring engineers, promoting developer experience, and driving innovation in an R&D environment.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Leads the planning, architecture, development, and delivery of scalable, secure software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology initiatives from research through production, champions automation across the software lifecycle, collaborates with global engineering and business teams, and provides technical leadership for customer integrations and platform adoption.

Lead the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drive AI and emerging-technology initiatives from concept through production, champion automation across the software lifecycle, collaborate with global engineering and business teams, and provide technical leadership for customer integrations and platform adoption.

Develop production-ready agentic AI systems and scalable software using AI-first practices across the full SDLC. Evaluate AI models, build multi-agent workflows and integrations, apply emerging standards, and deliver demos, workshops, and thought leadership to engineering and executive audiences. The role also involves mentoring, developer advocacy, innovation, and collaboration across Mastercard Foundry and the broader organization.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.

Develop AI-first software and agentic AI systems using multi-agent workflows, tool-calling, and orchestration. Build scalable production integrations, evaluate AI models, and apply emerging standards. Deliver demos, workshops, and thought leadership to technical and executive audiences while collaborating across Mastercard. The role also requires modern full-stack engineering, cloud-native development, security awareness, mentoring, and strong communication in an R&D environment.

Develops production-ready Agentic AI systems and scalable software integrations using AI-first practices across the SDLC. Evaluates AI models and emerging frameworks, applies standards such as MCP and AGENTS.md, and uses modern AI tooling. The role also includes product ideation, stakeholder presentations, demos, workshops, thought leadership, developer advocacy, mentoring, and collaboration with engineering leadership and executives.

Design, build, and scale agentic and generative AI tooling, services, and developer-facing platforms. Implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with product and business stakeholders to prototype and productionize solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Develop AI-native, production-ready software, including agentic AI systems, multi-agent workflows, tool-using agents, and integrations. Evaluate AI models, apply emerging standards, and work across the full software development lifecycle. Deliver demos, workshops, and thought leadership to engineering leaders and executives while mentoring colleagues and advancing developer experience, code quality, and innovation.

Leads the planning, architecture, development, and delivery of scalable software solutions for global customers. Drives AI and emerging-technology initiatives from concept through production, champions automation across the software lifecycle, and supports secure, resilient platform operations. Collaborates with engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for integrations and solution adoption.

Develop production-ready agentic AI systems and scalable software integrations using AI-first practices across the software development lifecycle. Evaluate AI models and emerging tools, apply standards such as MCP and AGENTS.md, and collaborate in an R&D environment. Deliver demonstrations, workshops, and thought leadership to engineering leaders and executives while mentoring teammates and advancing developer experience, code quality, security, and innovation.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Lead the planning, architecture, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drive AI and emerging-technology initiatives from concept through production, champion automation across the software lifecycle, collaborate with global engineering and product teams, and provide technical leadership for customer integrations. Ensure solutions are secure, resilient, maintainable, and aligned with enterprise standards.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

Leads the design, development, and delivery of scalable, secure software solutions using Java, AI technologies, and modern engineering practices. Drives innovation from research through production, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations while improving platform performance, reliability, security, and user experience.