Top Engineering Manager Jobs in Dublin

The Lead Engineer will develop and operate security services in Rust, ensuring database security and performance while collaborating across teams to enhance MongoDB's security capabilities.

Lead a Dublin engineering team owning the OLAP platform for real-time reporting and AI-driven products. Define technical strategy, scale platform performance and cost, build cross-team partnerships, implement monitoring and operating mechanisms, mentor engineers, and enable safe AI-first platform capabilities.

Leads a global engineering team developing the Affinidi Elements platform using TypeScript, Node.js, and React. Responsibilities include technical architecture, complex feature delivery, performance optimization, security, testing, CI/CD, roadmap collaboration, and development of high-performing engineering teams. The role is hands-on, involving coding, mentoring, cross-functional collaboration, and ownership of scalable cloud-native, microservices-based systems.

Leads multiple backend engineering teams, sets technical strategy and architecture, drives scalable cloud-based systems, mentors engineering managers and senior engineers, oversees hiring, and partners cross-functionally to deliver high-impact product initiatives. Requires expertise in C# or Java, .NET, AWS, distributed systems, and Kafka, plus experience managing distributed teams.

Lead a CRM engineering team during a three-month interim engagement. Facilitate Scrum ceremonies, maintain delivery momentum, remove blockers, manage backlog refinement, communicate progress and risks, provide technical guidance, and support team collaboration. The role requires a strong software development background, Scrum expertise, stakeholder management, and the ability to quickly integrate with an established distributed team and ensure a smooth handover to the returning manager.

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.

As a Staff Technical Program Manager for Site Reliability Engineering, you will drive program execution, enhance production reliability, and facilitate cross-functional coordination while managing dependencies and shaping roadmaps.

Lead and develop a software engineering team building and operating mission-critical, cloud-native authentication and decisioning systems. Drive roadmap delivery, platform modernization, operational excellence, CI/CD, observability, and collaboration across Product, Security, SRE and Architecture while supporting hiring and professional development.

Lead and grow a software engineering team that builds, scales, and operates mission-critical authentication decisioning systems. Drive roadmap delivery, technical design, operational excellence, CI/CD, automated testing, observability, and cross-functional collaboration to meet availability, performance, and security goals.

Lead and develop a software engineering team building and operating large-scale, cloud-native authentication decisioning systems. Drive roadmap delivery, platform modernization, reliability, performance and incident management. Partner with Product, Architecture, SRE and Security to implement scalable, secure solutions and engineering best practices (CI/CD, testing, observability). Hire, coach and improve developer productivity, software quality and operational excellence.

Lead and grow a software engineering team building and operating large-scale, real-time authentication and decisioning systems. Drive roadmap delivery, platform modernization, reliability, performance, CI/CD, automated testing, observability, and secure development while partnering with Product, Architecture, SRE and Security to meet business outcomes.

Lead and develop a software engineering team building and operating large-scale, cloud-native authentication decisioning systems. Balance people leadership, roadmap delivery, operational excellence, reliability, CI/CD, observability, and cross-functional collaboration to deliver secure, high-performance real-time transaction and AI-driven decisioning capabilities.

Lead and develop a software engineering team building and operating large-scale, cloud-native authentication decisioning systems. Drive roadmap delivery, ensure reliability, security, operational excellence, implement engineering best practices, and collaborate across Product, Architecture, SRE and security teams.

Lead and develop a software engineering team building and operating large-scale, cloud-native authentication decisioning systems. Drive roadmap delivery, reliability, performance, CI/CD, automation, observability, incident management, cross-functional collaboration, hiring and developer productivity improvements.

Lead and develop a software engineering team building and operating Authentication Decisioning capabilities. Drive roadmap delivery, partner on scalable resilient designs, ensure operational excellence (reliability, performance, incident management), champion CI/CD and testing, and improve developer productivity while coordinating with Product, SRE, Security and Architecture teams.

Lead and develop a software engineering team building and operating large-scale authentication decisioning systems. Drive roadmap delivery, platform modernization, operational excellence, CI/CD, observability, and cross-functional collaboration to meet availability, performance, and security goals.

Lead and develop a software engineering team building and operating large-scale, cloud-native authentication decisioning systems. Drive roadmap delivery, ensure reliability, performance and security, champion CI/CD and observability, collaborate across Product, Architecture, SRE and Security, and support hiring and professional development.

Lead and develop a software engineering team building scalable, secure, high-performance authentication decisioning systems. Drive roadmap delivery, technical design, operational excellence (reliability, performance, incident management), CI/CD and quality practices, cross-functional collaboration, hiring and talent development, and platform modernization.

Lead and manage an engineering team on the Atlas Growth team to design, build, test, and ship new Atlas features. Define roadmaps with stakeholders, contribute to technical architecture, mentor engineers, and collaborate with product, design, and analytics to improve onboarding, monetization, and cluster management for B2B customers.

Lead and build a team of Site Reliability Engineers for MongoDB's Storage Layer Services, focusing on distributed storage systems and operational reliability.

Leads and develops software engineering teams, including hiring, mentoring, performance management, capacity planning, and retention. Owns technical strategy, software and solution architecture, technical excellence, system performance, and reliable delivery. Supports agile practices, improves development workflows, tracks team metrics, provides leadership reporting, and collaborates with engineering and product leaders on technical and cross-functional initiatives.

Lead and coach data engineering teams to onboard enterprise datasets into Palmos and deliver scalable Databricks/Spark pipelines. Drive adoption of data mesh and lakehouse patterns, enforce governance, security, observability, and SDLC best practices, and enable analytics and AI/ML use cases through high-quality, reusable data products.

Lead infrastructure initiatives in cloud and edge environments, focusing on CI/CD pipeline implementation, system reliability, and data security compliance while managing a team.

As Engineering Manager for AI Models Infrastructure, you will lead a team responsible for building foundational infrastructure for AI products while contributing directly to production code and enhancing developer experience.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.