Top Engineering Jobs in Dublin

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.

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.

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 Pfizer's enterprise Data & BI platform engineering organization, owning data warehouse/lakehouse, integration, BI, catalog, and observability platforms. Define strategy, roadmaps, SLAs, governance, FinOps, and vendor/licensing. Manage and grow platform teams to deliver reliable, governed, AI-ready data and enable federated analytics and AI consumers.

Design, build, and own foundational platform services and developer experience to improve availability, scalability, latency, and cost efficiency. Enable product teams via platform primitives (infra, databases, queuing), mentor engineers, drive cost-optimization, and deliver scalable, observable, self-healing systems using cloud-native tooling.

Design, build, and operate core platform services to improve availability, scalability, latency, and cost efficiency. Develop platform primitives (infra, databases, queuing), enable developer experience, and implement tooling for observability, self-healing, configuration-as-code, and cost optimization.

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 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.

The Program Manager will support the Data Security Products Group, overseeing project scheduling, scoping, and execution while collaborating with engineering and product management teams to ensure timely delivery and resolution of issues.

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

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.

Lead global Quality Engineering across full-stack and data/ML platforms: define QE strategy, drive test automation, embed shift-left/right practices, own release quality gates, manage incidents, budgets, vendors, and build a high-performing QE organization.

Lead global Quality Engineering for CNPF products, defining QE strategy across full-stack, data/ML, and infrastructure. Build and manage teams, drive test automation, shift-left/right practices, establish AI/data quality frameworks, own release gates, conduct root-cause analyses, manage budgets/vendors, and represent QE externally.

Lead and scale a global Quality Engineering organization for CNPF products, defining QE strategy across full-stack and data/ML systems. Drive test automation, shift-left/shift-right practices, AI/agentic product evaluation, release quality gates, root-cause analysis, tooling and vendor decisions, budgeting, and talent development to improve product reliability and customer experience.

Lead and scale Quality Engineering across full-stack and data/ML platforms. Define QE strategy, drive test automation, shift-left/right practices, establish AI/data quality frameworks, manage releases, budgets, vendors, and build global QE talent.

Lead and scale Quality Engineering across CNPF products: build a global QE team, define and execute QE strategy, drive test automation, embed shift-left/right practices, ensure data and AI/ML product quality, own release quality gates, perform RCA on incidents, and manage budget, vendors, and hiring.

Lead strategy and delivery of the data platform powering analytics and agentic AI across business verticals. Architect lakehouse, streaming, retrieval, vector stores, feature stores, and knowledge graphs. Ensure governance, lineage, data quality, observability, and AI-specific controls. Partner with Applied AI, Product, and Architecture, set standards for data products, and guide a team of senior data engineers while staying hands-on to unblock technical challenges.

Lead strategy, architecture, and delivery of CNPF data platform to power analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and secure AI consumption. Partner with Applied AI and Product, guide senior engineers, and remain hands-on to unblock architecture and production issues.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to ensure real-time, secure, and auditable data for LLMs and analytics. Guide senior engineers and partner with AI, product, and security teams.

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-scale data platform enabling agentic AI and analytics. Build lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and AI-specific controls. Partner with Applied AI, Product, and Architecture; set standards for data products exposed to agents; remain hands-on to unblock teams and grow senior data engineering talent.

Lead and scale a global Quality Engineering organization across full-stack applications and data/ML platforms. Define QE strategy, drive test automation, embed shift-left/right practices, establish AI/ML evaluation frameworks, own release quality gates, manage budget/vendor relationships, and hire and develop QE leadership.