Top Engineering Manager Jobs in Dublin

Lead cross-functional, customer-facing programs that deliver scalable AI solutions from conception through production. Partner with engineers, product teams, designers, and strategic customers to define milestones, manage risks and dependencies, remove delivery obstacles, oversee AI/ML deployment and releases, and establish repeatable processes. The role requires translating ambiguous business objectives into execution plans, maintaining stakeholder alignment, and driving measurable customer outcomes.

Lead Toast’s Dublin-based OLAP Platform engineering team, defining technical strategy, scaling real-time analytics infrastructure, improving performance and cost efficiency, and establishing governance for AI-driven consumers. The role involves cross-team roadmap alignment, developer experience ownership, operational metrics and monitoring, incident prevention, and mentoring engineers while fostering an inclusive, high-ownership culture.

Leads software engineering teams while remaining 80% hands-on in coding. Designs, develops, and delivers software solutions using Kubernetes, Java, and Spring Boot; defines application requirements; supervises, coaches, and develops employees; guides software methodologies; manages vendor relationships; and ensures delivery, testing, troubleshooting, and compliance with organizational standards.

Leads a software engineering team while remaining hands-on, spending approximately 80% of the role coding. Designs, develops, and delivers Java and Spring Boot applications running on Kubernetes; defines application requirements and ensures engineering standards. Manages, coaches, and develops team members, oversees performance processes, provides technical leadership, works with business clients and vendors, and resolves complex software and performance issues. Requires experience across the software development lifecycle, high-performance applications, testing frameworks, SQL, and Oracle.

Leads a software engineering team while remaining hands-on in Java, Spring Boot, and Kubernetes development. Responsibilities include analyzing, designing, developing, and delivering software; defining application requirements; coaching engineers; managing performance; guiding software methodologies; collaborating with business clients; and overseeing external IT vendors. The role is approximately 80% coding and 20% management, with emphasis on high-performance applications, testing, troubleshooting, and Oracle-based systems.

Manages software engineering teams while remaining hands-on with approximately 80% coding responsibilities. Designs, develops, and delivers software solutions using Kubernetes, Java, and Spring Boot. Defines application requirements, supports high-performance systems, guides development practices, coaches team members, manages performance processes, and handles vendor relationships. Requires strong Java programming, SQL and Oracle experience, testing framework knowledge, problem-solving skills, and people leadership.

Leads a software engineering team while remaining primarily hands-on in coding. Responsibilities include analyzing, designing, developing, and delivering software solutions; defining application requirements; supervising and coaching engineers; managing performance; guiding software development practices; and engaging external IT vendors. The role requires deep Java expertise, Kubernetes and Spring Boot experience, automated testing knowledge, SQL and Oracle skills, and experience developing high-performance applications.

Manages and coaches software engineering teams while remaining heavily hands-on in application analysis, design, development, and delivery. The role focuses on Java, Spring Boot, Kubernetes, high-performance applications, testing, SQL, and Oracle. Responsibilities include defining requirements, guiding software development practices, managing performance processes, supporting business relationships, and overseeing external IT vendors.

Manages and develops software engineering teams while remaining hands-on with approximately 80% coding responsibilities. Designs, develops, tests, and delivers high-performance Java applications using Kubernetes and Spring Boot. Provides technical and people leadership, defines application requirements, coaches employees, manages performance processes, collaborates with business clients, and oversees external IT vendor relationships.

Leads a software engineering team while remaining primarily hands-on, with approximately 80% coding and 20% managerial responsibilities. Designs, develops, and delivers applications using Kubernetes, Java, and Spring Boot. Supervises, coaches, and evaluates engineers; defines technical requirements and development practices; manages vendors; and ensures software quality through testing, performance optimization, diagnostics, and adherence to security and organizational standards.

Leads a software engineering team while remaining highly hands-on in Kubernetes, Java, and Spring Boot development. Responsibilities include analyzing, designing, developing, and delivering software solutions; defining application requirements; ensuring engineering standards; coaching and evaluating employees; managing software methodologies; and working with business clients and external IT vendors. The role is approximately 80% coding and 20% managerial duties, with emphasis on high-performance applications, testing, databases, diagnostics, and problem solving.

Leads software engineering teams while remaining heavily hands-on in Java, Spring Boot, Kubernetes, and high-performance application development. Responsibilities include analyzing, designing, developing, and delivering software solutions; defining application requirements; coaching engineers; managing performance processes; supporting development methodologies; and coordinating with business clients and external IT vendors.

Leads and coaches software engineering teams while remaining primarily hands-on in coding. Designs, develops, and delivers software solutions using Kubernetes, Java, and Spring Boot. Defines application requirements, guides development practices, manages performance processes, and supports vendor relationships. Requires strong Java programming, SQL and Oracle experience, unit testing knowledge, problem-solving ability, and experience building high-performance applications.

Leads an enterprise data engineering team, overseeing people development, delivery planning, technical architecture, production reliability, and operational support. Guides scalable batch and streaming pipelines, ETL/ELT, data products, integrations, governance, testing, CI/CD, monitoring, and incident response. Partners with engineering, platform, security, architecture, and business stakeholders to deliver secure, reusable, high-quality data capabilities across enterprise domains.

Lead the Enterprise Nodes & Partnerships engineering team, building secure, reliable, scalable enterprise integrations and strategic technology partnerships. Coach and develop engineers, lead hiring, guide architecture and technical decisions, align with Product and Design, and establish practices that support fast, high-quality execution. The role requires hands-on software engineering credibility, occasional coding to unblock the team, and experience scaling engineering teams in a high-growth SaaS environment.

Leads a new engineering team building scalable support experiences, internal tooling, and AI-enabled products. Responsibilities include hiring and mentoring engineers, establishing team culture, setting technical direction, partnering with Product and Design, managing roadmaps, driving full-stack product delivery, and maintaining high standards for reliability, usability, and engineering excellence.

Leads Data and Storage Reliability Engineering for large-scale SaaS environments. Responsibilities include reliability strategy, observability, diagnostics, automation, capacity planning, incident root-cause analysis, resilience validation, risk reduction, and platform improvement. Manages and develops engineering teams, partners with production and software engineering groups, supports customer-critical escalations, and converts operational insights into durable engineering solutions.

Lead multiple teams building the Guidewire Cloud Platform and Jutro Digital Platform (JDP). Drive technical excellence across frontend (React, Module Federation) and backend (Java/Kotlin, Spring Boot) microservices on AWS and Kubernetes, champion AI-assisted Spec-Driven Development, manage delivery, hiring, incident response, and mentor engineers to improve quality and velocity.

Lead Stripe’s Local Payment Methods Foundations engineering team, setting the platform roadmap and technical direction for scalable payment integrations. Build AI-enabled engineering workflows, drive architectural decisions, improve team operations, and partner across product, engineering, legal, partnerships, and operations. Recruit, mentor, and retain engineers while fostering an inclusive, high-performing culture and delivering reliable self-service platform capabilities.

Leads a multidisciplinary mechanical and electrical design organization supporting chiller product development, enhancements, and sustaining engineering across EMEA. The role oversees design standards, resource planning, PLM and engineering data processes, manufacturing collaboration, quality, compliance, and continuous improvement. It develops local engineering capabilities, strengthens global collaboration, and ensures manufacturable, scalable, high-quality engineering outputs. Responsibilities include people leadership, organizational growth, design governance, engineering change management, and support for manufacturing sites in France and Turkey.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Lead and develop a distributed team of software and quality engineers building automated testing infrastructure for cloud-native and distributed systems. Set engineering standards, shape architecture and technical strategy, improve CI pipelines and test tooling, and guide reliability, resilience, interoperability, and performance validation across bare-metal and public cloud environments. Contribute through code reviews, debugging, design discussions, and cross-functional collaboration while enabling globally distributed engineering teams.

Leads managers and technical support engineers, owning operational performance, customer satisfaction, SLAs, escalations, AI adoption, and team development. Partners with senior leadership, Product, Engineering, and Customer Success to influence roadmaps and improve support strategies. Manages critical incidents, presents performance insights to executives, identifies operational risks, and mentors global teams through organizational change.

Leads two distributed frontend engineering squads responsible for Grafana’s frontend platform and navigation experiences. The role oversees hiring, team development, product discovery, roadmap prioritization, delivery, architecture, reliability, accessibility, security, and operational excellence. The manager partners with Product and Design, drives AI and automation adoption, supports open-source and cloud-first delivery, participates in engineering on-call, and improves developer productivity and customer outcomes.

Lead and develop engineering teams to modernize a high-volume payment platform from monolith to event-driven microservices on AWS. Own delivery outcomes, participate in architecture and design, enforce TDD/CI/CD/observability, remove blockers, collaborate cross-site, and embed AI-assisted development into engineering practices.