Top Engineering Jobs in Dublin

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 a hands-on engineering team to design and deliver IoT and edge-to-cloud solutions that integrate AI/ML for real-time workplace insights. Architect resilient, secure pipelines, enforce data governance (FAIR), drive agentic AI adoption across the SDLC, mentor engineering talent, and split time between strategic leadership and active coding.

Lead a product-aligned engineering organization to build and operate a cloud-native Talent Performance platform. Own technology direction, architecture modernization, integrations, delivery, reliability, security, and governance. Manage multiple cross-functional teams, vendor relationships, and stakeholder alignment. Drive adoption of AI-assisted engineering with appropriate controls while ensuring production readiness, observability, cost governance, and measurable engineering KPIs.

Lead and build a Dublin-based SRE and Security Engineering organization responsible for platform availability, performance, automation, incident response, and GDPR compliance. Define strategy and roadmap, embed secure reliability across the SDLC, drive automation/self-service tooling, manage distributed teams, and lead security and reliability incident response and post-mortems.

Lead and grow an observability engineering team to design, build, and operate large-scale distributed tracing and metrics platforms. Drive architecture, design reviews, capacity planning, POCs, CI/CD and resilience practices, and collaborate across teams to enable a full DevOps model.

Lead a small senior engineering team to design, build, and operate enterprise-scale infrastructure platforms. Own architecture, production code, on-call incident response, observability, and AI-native engineering practices. Drive automation, set engineering standards and guardrails for agentic AI, measure outcomes, and partner with stakeholders to ensure reliability, security, and cost-effectiveness.

Lead positioning, messaging, and go-to-market for MongoDBcontext engineering products (MCP Server, VoyageAI, Agent Skills). Create technical content, drive launches, enable GTM with data-driven persona and adoption insights, and align product and business strategy across engineering, sales, and developer-facing teams.

Lead a small engineering team to define and execute internationalization and translation platform strategy. Build tooling, standards, metrics, and operational processes to drive i18n adoption across many repos. Partner with product, apply AI to streamline translation workflows, and mentor engineers while balancing experimentation and platform stability.

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.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction, partner with product and enterprise technology, improve operational stability, reduce incidents and toil, and grow engineering talent across multiple locations.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction and roadmap, champion event-driven asynchronous microservices and cloud deployments, ensure secure SDLC and continuous testing, improve operational stability and incident metrics, and grow engineering talent while aligning product and regional teams.

Lead global engineering for Commercial Acceptance: define and execute technology transformation and roadmap, drive event-driven microservice and cloud deployments, improve operational stability and metrics, build and develop engineering talent, and align product, engineering and regional teams to deliver scalable B2B payment solutions.

Lead global engineering for Mastercard Commercial Acceptance: define technology roadmap, drive large-scale transformation, ensure operational stability, build and develop talent, align product and regional teams, and embed secure SDLC and cloud-native microservice practices.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Define technical roadmap, ensure operational stability, drive product and platform development, improve reliability metrics, and grow engineering talent while aligning cross-functional and executive stakeholders.

Lead global engineering for Mastercard Commercial Acceptance: define technology roadmap, drive large-scale transformation, build and develop distributed engineering teams, ensure operational stability and secure SDLC, collaborate with product and enterprise tech, and improve metrics like incident reduction and MTTM.

Lead global engineering teams to define and execute a technology transformation roadmap for Commercial Acceptance. Drive platform stability, event-driven microservice design, cloud deployment, secure SDLC practices, cross-functional alignment with product and enterprise tech, and talent development while improving operational metrics and reduction of incidents, MTTM, defects, and toil.

Lead global engineering teams to design, build, and operate Mastercard's Commercial Acceptance platform. Define technology roadmap, drive large-scale transformation, ensure operational stability, improve incident metrics, and partner with product and enterprise leadership to deliver scalable, secure cloud-native payment solutions.

Lead global engineering teams to evolve Mastercard's Commercial Acceptance platform. Define technical strategy and roadmap, drive technology transformation, ensure operational stability and secure SDLC, build and develop engineering talent, and align product, engineering, and regional teams to deliver scalable, cloud-native B2B payment solutions.

Lead global engineering teams to design, build, and operate the Commercial Acceptance platform. Define technology roadmap, drive transformation, improve operational stability, reduce incidents and toil, ensure secure SDLC and cloud deployments, and develop engineering talent while aligning product and regional teams.

Lead global engineering teams to define and execute the Commercial Acceptance technology roadmap. Drive large-scale technology transformation, ensure operational stability, improve platform metrics, collaborate with product and enterprise leaders, and grow technical talent across multiple regions while embedding Mastercard principles.

Lead Cloud Operations Engineers build internal tools, automate processes, monitor alerts, troubleshoot production systems, support on-call rotations, and coach engineers. They partner with Product and R&D, drive automation to reduce mean time to resolve incidents, and ensure uptime and high-quality delivery while fostering team growth and psychological safety.

Lead strategy and delivery of the data platform powering analytics and agentic AI across CNPF. Architect lakehouse, streaming, retrieval, vector/feature stores and MCP servers; ensure governance, observability, and PII-safe AI data pipelines; partner with Applied AI, Product, and Security; guide and grow senior data engineering team.

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 strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, and MCP servers. Ensure governance, lineage, observability, and AI-specific controls. Partner with Applied AI, Product, and Security; guide and grow a senior data engineering team while remaining hands-on to unblock technical challenges.

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.