Top Tech Jobs & Startup Jobs in Dublin

Lead the architecture and development of scalable, cloud-native AI products, intelligent agents, agentic workflows, and analytics platforms. Design production-grade systems using LLMs, retrieval, orchestration, memory, evaluation, and safety controls. Build APIs and distributed services with Python, Java, AWS, Azure, Databricks, and Spark. Drive technical execution, architecture reviews, DevSecOps, automation, reliability, governance, and mentoring across globally distributed engineering teams.

Lead development of high-performance Java applications and backend and consumer-facing platform features. Provide direct software development, production support, incident resolution, code reviews, technical guidance, and feature planning. Collaborate with technical leads, engineers, analysts, and business stakeholders to define requirements and deliver cloud-based microservices solutions. Integrate vendor and open-source products while ensuring software quality and security practices.

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.

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.

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.

Build and lead scalable full-stack, data-intensive applications using distributed systems, cloud technologies, Databricks, Spark, and AI agentic workflows. Responsibilities include system design, API and data architecture, performance optimization, troubleshooting, secure coding, testing, observability, CI/CD, production readiness, cross-functional collaboration, and mentoring engineers.

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.