Top Engineering Jobs in Dublin

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed services, APIs, Databricks and Spark development, LLM agentic workflows, performance optimization, cloud deployment, troubleshooting, testing, observability, secure coding, and mentoring engineers.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Provide direct software development, production support, code reviews, technical guidance, and collaboration with engineering and business teams. Design cloud-based microservices solutions, integrate vendor and open-source products, and contribute to Agile planning and feature development.

Lead software engineering for Mastercard’s Cyber Security Services platform, developing high-performance Java applications and backend and consumer-facing features. Responsibilities include production support, incident resolution, feature definition, solution planning, code reviews, and mentoring junior engineers. The role requires expertise in Java, Spring, Kafka, SQL, Linux, cloud development, microservices, application servers, and Agile/SAFe processes, along with experience integrating vendor and open-source products.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, and microservices; contribute across architecture, implementation, testing, deployment, and operations. Collaborate with product, architecture, quality, and engineering teams; troubleshoot production issues, improve platform capabilities, apply engineering best practices, and use AI-assisted development throughout the software lifecycle.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed systems, microservices, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud deployment, testing, observability, troubleshooting, and mentoring engineers. The role translates business needs into secure, maintainable technical solutions and drives engineering quality, reliability, and production readiness.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds secure, resilient distributed systems, REST APIs, microservices, and event-driven applications; contributes to architecture, testing, deployment, monitoring, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, recommends technology improvements, and applies AI-assisted development practices. The role supports real-time decisioning for fraud prevention, risk management, and payment intelligence.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Provide production support, resolve incidents, define features, plan solutions, conduct code reviews, and mentor junior engineers. The role requires expertise across Java, Spring, Kafka, SQL, Linux, cloud platforms, microservices, deployment tools, and Agile development processes.

Designs and develops scalable full-stack, distributed, data-intensive applications and AI-powered products. Leads system design, API and data architecture, performance optimization, cloud deployments, testing, observability, and production support. Collaborates with cross-functional teams to translate business needs into secure technical solutions, troubleshoots complex platform issues, and mentors junior and mid-level engineers. The role includes developing Databricks and Spark applications, LLM-based agents, retrieval systems, and agentic workflows.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include software design, coding, code reviews, production support, incident resolution, technical planning, feature definition, vendor and open-source integration, and mentoring junior engineers. The role requires expertise in Java, Spring, Kafka, Linux, SQL, cloud development, microservices, and Agile delivery practices.

Builds, scales, and supports highly available cloud infrastructure for Ekata. Responsibilities include infrastructure as code, Kubernetes and container orchestration, CI/CD automation, security and availability monitoring, cloud administration, networking, troubleshooting, documentation, developer support, and on-call production incident response. The role also develops automation tools in Go, Python, Rust, or Bash and improves system reliability, performance, and deployment processes.