Top Tech Jobs & Startup Jobs in Dublin

Leads architecture and hands-on development of enterprise AI products, intelligent agents, agentic workflows, analytics platforms, and cloud-native services. Designs secure, scalable systems using LLMs, retrieval, orchestration, memory, evaluation, and safety controls. Guides productionization through reliability, observability, governance, CI/CD, testing, and cost optimization. Partners across engineering, product, data, security, and operations teams; coordinates global technical execution, drives design and code reviews, establishes reusable platforms, and mentors engineers.

Lead the architecture, development, and production deployment of AI-powered products, intelligent agents, and agentic workflows. Build scalable cloud-native services, APIs, analytics platforms, and distributed systems using AWS, Azure, Databricks, Spark, Python, and Java. Establish reliability, security, governance, observability, and cost-optimization practices while coordinating global engineering teams. Drive technical decisions, reviews, CI/CD, automated testing, modernization, reusable platforms, and mentorship across the engineering organization.

Build and lead scalable full-stack, data-intensive applications and AI-powered products using distributed systems, cloud technologies, Databricks, Spark, and LLMs. Responsibilities include system design, API and service development, performance optimization, mentoring engineers, technical troubleshooting, secure coding, testing, observability, CI/CD, and cross-functional collaboration. The role guides team-level architecture and delivers reliable analytics-driven solutions for global customers.

Build and lead full-stack, data-intensive, analytics-driven applications for business experimentation and decision-making. Responsibilities include system design, distributed systems development, Databricks and Spark data processing, AI and LLM-powered products, performance optimization, cloud-native deployment, troubleshooting, testing, security, observability, CI/CD, and mentoring engineers.

Leads the design, development, and productionization of AI-powered products, intelligent agents, and agentic workflows. Architects scalable cloud-native platforms using LLMs, retrieval systems, orchestration frameworks, and modern data technologies. Provides hands-on software engineering, drives architecture and code reviews, coordinates global technical execution, improves reliability and developer productivity through automation and DevSecOps, and mentors engineers while ensuring security, observability, governance, and performance.

Lead development of high-performance Java applications and backend and consumer-facing features for Mastercard’s cybersecurity platform. Responsibilities include designing solutions, supporting production incidents, defining features, conducting code reviews, integrating vendor and open-source products, contributing to cloud and microservices development, and mentoring junior engineers.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include direct software development, production support, incident resolution, feature definition, solution planning, code reviews, and technical guidance for junior engineers. The role requires expertise in Java, enterprise application servers, Spring, Kafka, SQL, Linux, cloud development, microservices, and Agile delivery processes.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include direct software development, production support, incident resolution, feature planning, code reviews, vendor and open-source integration, cloud and microservices development, and technical guidance for junior engineers. The role requires collaboration with technical leads, analysts, and business stakeholders while ensuring secure, reliable software delivery.

Lead Software Engineer responsible for developing high-performance, high-volume Java applications and backend and consumer-facing platform features. Duties include production support, feature planning, code reviews, software integration, technical guidance, and collaboration with engineering and business teams. The role requires expertise in Java, Spring, Kafka, SQL, Linux, cloud development, microservices, application servers, and Agile development processes.

Lead the design, development, and production deployment of AI-powered products, intelligent agents, and cloud-native analytics platforms. Responsibilities include architecting agentic AI systems, building scalable services and APIs, establishing reliability and security practices, leading technical execution across global teams, conducting design and code reviews, driving CI/CD and DevSecOps, mentoring engineers, and improving platform scalability, observability, and developer productivity.