Top Tech Jobs & Startup Jobs in Dublin

The Staff Software Engineer will develop AI agents for restaurant workforce management, utilizing Java or Kotlin and modern web technologies. Responsibilities include full-stack development, collaboration across teams, mentoring, and championing best practices in agent development.

Lead the architecture of systems for developer ecosystems and software delivery. Optimize tooling, enhance productivity, and improve CI/CD processes.

Lead strategy and execution for Toast's core web platform and growth surfaces. Evolve component libraries, tooling, build systems, and microfrontend architecture to improve developer experience, performance, and reliability across many SPAs. Partner with product and design to drive measurable growth outcomes, break initiatives into incremental milestones, and coach engineers and managers in a hybrid environment.

Manage FinTech programs by leading cross-functional teams, improving operational efficiency, and fostering partnerships while implementing large-scale initiatives.

The role involves designing and implementing payment processing systems, guiding junior engineers, and ensuring high-quality backend services through best practices.

Design, build, deploy, and maintain highly resilient, scalable IAM and user-management microservices. Partner with product, UX, QA, and engineers to ensure secure authentication, permissions, and integrations. Diagnose performance issues, implement best practices and tests, monitor rollouts, and mentor teammates.

Design, build, and maintain high-performance Android solutions for Toast POS, ship end-to-end features, collaborate with UX/PM/QA, integrate backend services, and iterate using AI-assisted tools to improve guest engagement in restaurants.

Build and maintain scalable, resilient Android features and core infrastructure to support international product launches. Lead i18n approaches, collaborate with UX/PM and cross-functional teams, mentor engineers, and work with pilot customers to deliver globally-ready Point of Sale functionality while improving engineering workflows and tooling.

Lead architecture and implementation of AI agents and infrastructure for the Team domain. Define scalable, secure designs, partner with engineering and product, write code and prototypes, resolve performance bottlenecks, establish agent/ spec-driven patterns, and mentor engineers to deliver mission-critical SaaS systems.

Build and lead AI platform infrastructure including LLM proxy, key management, observability, MCP services, autonomous agents and plugin marketplace. Architect, deliver, and evangelize agentic tooling, mentor engineers, and partner with product teams to expand AI foundations across the company.