Top Engineering Jobs in Dublin

Provides enterprise-scale software engineering leadership as a senior individual contributor. Leads architecture, design, development, testing, deployment, and operational excellence across secure, distributed systems. Translates business requirements into scalable solutions, drives technical standards and automation, resolves complex production issues, reduces technical debt, and influences engineering roadmaps. Partners across product, business, architecture, and engineering teams while mentoring engineers and promoting consistent engineering practices.

Provides technical leadership as a senior individual contributor for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, operational readiness, and production issue resolution across distributed services and platforms. Partners with product, business, architecture, and engineering stakeholders to deliver secure, resilient, scalable solutions. Drives engineering standards, automation, CI/CD, observability, reliability, technical roadmaps, developer productivity, and technical debt reduction while mentoring engineers and influencing cross-functional initiatives.

Leads enterprise-scale software engineering as a senior individual contributor and technical thought leader. Designs resilient, secure, scalable systems; drives architecture, development, testing, deployment, automation, observability, and operational excellence. Partners across product, business, architecture, and engineering teams, resolves complex production issues, reduces technical debt, improves engineering practices, and influences technology roadmaps. Mentors engineers and contributes to architecture forums, technical communities, and global engineering standards.

Leads architecture, design, development, modernization, and delivery of scalable cloud-native experimentation and analytics software. Builds services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Provides technical leadership across distributed teams, drives design and code reviews, mentors engineers, and champions security, reliability, observability, performance, and continuous delivery.

Lead architecture and hands-on development of Mastercard’s cloud-native experimentation and analytics platform. Design scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, and Spark/PySpark. Drive modernization, technical strategy, design reviews, delivery across global teams, and engineering best practices for security, reliability, observability, and performance. Mentor engineers and collaborate with product, data science, QA, security, and operations teams.

Leads architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Builds distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern software practices. Drives modernization, technical strategy, architecture reviews, cross-team execution, reliability, security, observability, and continuous delivery while mentoring engineers and coordinating globally distributed teams.

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, and Spark/PySpark. Drive technical strategy, system design, code reviews, architecture decisions, and cross-team execution while mentoring engineers and ensuring secure, reliable, observable, high-performance software delivery.

Provides senior technical leadership as an individual contributor, designing and delivering secure, scalable, resilient enterprise software. Leads architecture, development, testing, deployment, operational readiness, automation, production troubleshooting, and technical standards across teams. Partners with product, business, architecture, and engineering stakeholders, influences technology roadmaps, reduces technical debt, mentors engineers, and drives engineering excellence across complex distributed systems.

Leads architecture, design, coding, testing, and delivery of a cloud-native experimentation and analytics platform. Builds scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and Kubernetes. Drives modernization, technical strategy, architecture reviews, reliability, security, observability, and continuous delivery. Coordinates globally distributed teams, partners cross-functionally, mentors engineers, and ensures production-quality solutions aligned with enterprise standards.

Lead architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, delivery coordination, reliability, security, observability, and continuous improvement. Mentor engineers and collaborate across product, data science, QA, security, operations, and globally distributed engineering teams.