Top Engineering Jobs in Dublin

Leads major software engineering initiatives, defines technical strategy and roadmaps, evaluates technologies through proofs of concept, and oversees enterprise integrations. Guides architecture, security, development processes, documentation, standards, and service-level compliance. Partners with business, legal, compliance, vendors, and global teams to deliver scalable systems using cloud, web services, databases, and agile methodologies. Coaches engineers, manages concurrent initiatives, and supports strategic decision-making.

Designs and develops scalable, cloud-native experimentation platforms and data-intensive analytics applications. Leads team-level system design, API and data-flow architecture, performance optimization, secure coding, testing, observability, CI/CD, and production readiness. Builds services and data pipelines using Java, Databricks, Spark, and modern cloud technologies. Collaborates with cross-functional teams, troubleshoots complex application and cloud issues, and mentors junior and mid-level engineers across the full software development lifecycle.

Lead system design and develop scalable, cloud-native software for a data-intensive business experimentation platform. Build distributed services, APIs, analytics capabilities, and data pipelines using Java, Databricks, Spark, and modern cloud technologies. Improve performance, reliability, security, observability, testing, and CI/CD practices. Troubleshoot complex production issues, collaborate across teams, and mentor engineers throughout the software development lifecycle.

Leads major software engineering initiatives, defines technical strategy and roadmaps, evaluates technologies through proofs of concept, and guides cross-functional teams. Oversees project scope, integration architecture, security, development standards, documentation, and service-level requirements. Partners with business, legal, compliance, vendors, and senior leadership on business cases, third-party integrations, and strategic decisions. Mentors engineers and supports development, testing, and operations for global, multilingual, multicurrency systems.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level system design, APIs, data flows, and nonfunctional requirements while coding, testing, debugging, and optimizing production software. Build distributed systems, microservices, and data pipelines using Java, Databricks, Spark, and cloud technologies. Troubleshoot complex issues, improve reliability and observability, collaborate cross-functionally, and mentor engineers.

Designs, develops, tests, and supports scalable, cloud-native experimentation platforms and analytics-driven applications. Responsibilities include leading team-level system design, building distributed services and APIs, optimizing Databricks and Spark workloads, troubleshooting performance and reliability issues, and translating business needs into secure technical solutions. The engineer collaborates across teams, contributes throughout the software lifecycle, improves CI/CD and observability practices, and mentors junior and mid-level engineers.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, operational readiness, and production issue resolution across distributed platforms. Partners with product, business, architecture, and engineering teams to deliver secure, scalable, resilient solutions; drives automation, engineering standards, technical roadmaps, reliability, performance, and developer productivity. Influences cross-functional initiatives, mentors engineers, and contributes to architecture forums and engineering communities.

Lead the architecture, design, development, and modernization of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Drive technical strategy, system design, code reviews, delivery, observability, security, and reliability across distributed teams while mentoring engineers and coordinating cross-functional initiatives.

Provides expert individual-contributor leadership for enterprise-scale software engineering. Designs and delivers secure, scalable, resilient distributed systems; drives architecture, development, testing, deployment, automation, observability, and operational excellence. Partners with product, business, architecture, and engineering teams to translate strategy into technical solutions, resolve complex production issues, reduce technical debt, and improve engineering practices. Influences technical roadmaps, mentors engineers, and promotes standards across teams and geographies.

Lead architecture, design, coding, testing, and delivery of scalable cloud-native software for Mastercard’s experimentation and analytics platform. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, and Spark. Drive modernization, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinate globally distributed teams, collaborate across engineering and business functions, and mentor engineers while championing engineering excellence.