Top Engineering Jobs in Dublin

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.

Lead and manage a software engineering team for the Decision Management program. Hands-on coding in Java/Spring, align with architects, deliver streaming analytics and in-memory grid solutions, build maintainable, testable, secure high-performance applications, manage roadmaps and team performance, and collaborate with business to deliver value.

Lead and manage a software engineering team building real-time decisioning products using streaming analytics, business rules and in-memory data grids. Provide technical direction, hands-on coding, roadmap planning, architecture alignment, and enforce best practices for maintainable, testable, scalable, and secure code to deliver business value.

Lead and manage a Decision Management team, balancing people management and hands-on development. Deliver real-time decision services using Java/Spring, ensure architecture alignment, apply best practices, conduct performance reviews, and collaborate to meet business priorities and roadmaps.

Lead and manage a software engineering team on the Decision Management program, delivering real-time decisioning services. Provide hands-on technical leadership, roadmap alignment with business priorities, enforce architecture and development best practices, and ensure maintainable, testable, scalable, and secure code.

Lead and manage a software engineering team building streaming decision-management products. Balance people management with hands-on Java development, ensure architecture alignment, apply best practices, deliver scalable, testable, high-performance solutions, and collaborate across teams to meet business priorities.

Lead and manage a software engineering team building real-time decisioning systems using streaming analytics, business rules/AI engines, in-memory data grids, APIs and UIs. Balance people management with hands-on coding, align with architects, deliver roadmap priorities, and enforce best practices for scalable, secure code.

Lead and manage a software engineering team for Decision Management, balancing people leadership with hands-on Java development. Drive roadmaps, align with architecture, apply best practices for scalable, testable, secure code, collaborate across teams, and deliver high-performance streaming decision services.

Lead and manage a software engineering team building real-time decisioning systems. Balance people management and hands-on coding, ensure alignment with architecture, deliver business value, enforce best practices, and work with streaming analytics, rule engines, in-memory grids, APIs and UIs for high-performance global-scale systems.

Lead and manage a software engineering team building real-time decisioning systems. Balance people management and hands-on coding, align with architecture, apply best practices, and deliver scalable, testable, secure solutions for streaming analytics and in-memory data grids.

Lead and manage a software engineering team building real-time decisioning systems using streaming analytics, in-memory grids, APIs and UIs. Balance people management with hands-on coding, align with architects, apply best practices, and deliver scalable, secure, high-performance solutions.

Lead and manage a software engineering team building decision-management, streaming analytics, and in-memory data solutions. Balance people management with hands-on development, ensure architectural alignment, apply best practices, and deliver scalable, testable, secure code to support real-time decisioning at global scale.

Lead a team of software engineers in developing financial solutions, focusing on product engineering and team management to ensure business growth and operational efficiency.

Lead and grow cross-functional engineering teams in Dublin while contributing code. Drive design, implementation, testing, and delivery of full‑stack and agentic/Generative AI features. Mentor engineering leads and ICs, collaborate with product partners, recruit and develop team members, and report progress to stakeholders.

The Lead Software Engineer will oversee the Atlas Clusters team, contributing to system architecture, managing a team, and enhancing the product by collaborating with stakeholders and fixing issues.

Manage and grow a Database Engineering team responsible for backend infrastructure (databases and streaming). Hire, mentor, and evaluate engineers; drive architectural decisions and cross-functional roadmaps with Product, Design, and other teams. Promote an inclusive, high-performing culture and ensure scalability, reliability, and strong developer experience.

The Engineering Manager will lead the PASS team, overseeing the development of the purchase and subscription experience, managing a full-stack team, and collaborating with cross-functional partners to drive revenue through innovative solutions and continuous improvement.

The Lead Engineer will manage a team, contribute to system design and code, and collaborate with stakeholders while focusing on cloud database security features.

The role involves managing and mentoring full stack engineers, shaping product roadmaps, delivering projects for international markets, and fostering team culture in Dublin.

The Director of Impact Engineering leads a global team, overseeing product development around AI-enhanced customer success tools while ensuring quality, technical direction, and cross-functional collaboration.

The Senior Engineering Manager will lead the Card Readers team, overseeing software delivery, mentoring engineers, and driving innovation in payment solutions while maintaining product quality and team growth.

Lead a team of engineers developing large-scale, distributed backend systems for MongoDB Atlas. Collaborate across teams and manage product roadmap.

Lead global Quality Engineering for CNPF products and platforms. Define and execute QE strategy across full-stack, data/ML, and infrastructure; drive test automation, shift-left/right practices, release gates, incident root-cause analysis, tooling decisions, budgeting, and talent development.

Lead strategy, architecture, and delivery of a production-grade data platform enabling agentic AI and analytics. Own lakehouse, streaming, retrieval, vector/feature stores, MCP servers, governance, and real-time pipelines; partner with Applied AI and Product; guide senior engineers and set standards for AI-ready data products.

Lead and scale a global Quality Engineering function across full-stack and data/ML systems. Define QE strategy, drive test automation, shift-left/right practices, establish AI and data quality frameworks, own release gates, perform RCA on incidents, manage budget and vendors, and recruit and develop QE leadership.