Top Tech Jobs & Startup Jobs in Dublin

Develop, test, implement, document, maintain, and support secure, scalable Java applications for Mastercard’s InControl virtual card platform. Design RESTful APIs, evaluate technical solutions, debug server-side calls, perform performance testing, and work with cross-functional Agile teams. Contribute to software quality processes, documentation, project metrics, and process improvements while supporting highly available cloud-native systems.

Design, develop, deploy, and operate scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Responsibilities include building Java services and APIs, driving architecture and modernization, improving CI/CD and observability, troubleshooting production issues, partnering with SRE and Data Science teams, and mentoring engineers.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl platform. Design and evaluate technical solutions, build multithreaded Java applications and APIs, perform performance testing, troubleshoot server-side integrations, and work with cross-functional Agile teams. Contribute to software quality standards, process improvements, project metrics, and delivery commitments while supporting cloud-native development and database design.

Design, develop, test, deploy, and operate highly scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Own features from technical design through production rollout, develop APIs and real-time transaction services, improve cloud adoption and observability, troubleshoot production issues, and partner with SRE, Data Science, Product, and engineering teams. Mentor junior engineers and promote secure, reliable software engineering practices.

Design, develop, deploy, and operate highly scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Build APIs, real-time transaction services, and microservices; contribute to cloud adoption, observability, automation, and CI/CD. Troubleshoot production issues, improve reliability and security, collaborate with product, data science, architecture, and SRE teams, and mentor junior engineers.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and Spring-based services, RESTful APIs, and database solutions; conduct performance testing, debugging, feasibility analysis, and technical research. Collaborate with cross-functional Agile teams, follow quality and security standards, support project metrics, and contribute to process improvements.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and Spring-based services, RESTful APIs, and database solutions; perform technical analysis, performance testing, debugging, and feasibility studies. Collaborate with cross-functional Agile teams, support project metrics and quality processes, document solutions, and contribute to improving engineering standards and processes.

Build and lead scalable full-stack, data-intensive applications for analytics, experimentation, and decision-making. Responsibilities include team-level system design, distributed systems and API development, Databricks and Spark data processing, AI-powered agentic products using LLMs, performance optimization, cloud-native deployment, troubleshooting, secure coding, observability, CI/CD, and mentoring engineers.

Lead the architecture, development, and productionization of AI-powered products, intelligent agents, and cloud-native analytics platforms. Design agentic systems with reasoning, memory, retrieval, evaluation, safety, and human oversight. Build scalable services and APIs using AWS, Azure, Databricks, Spark, Python, and Java. Drive technical execution, architecture reviews, DevSecOps, testing, reliability, governance, and cost optimization while mentoring engineers and coordinating globally distributed teams.

Lead the architecture, development, and production deployment of AI-powered products, intelligent agents, and cloud-native analytics platforms. Build agentic workflows using LLMs, retrieval systems, orchestration, memory, evaluation, and safety controls. Develop scalable services and APIs with AWS, Azure, Databricks, Spark, Python, and Java. Drive engineering standards, CI/CD, security, observability, technical execution, architecture reviews, and mentorship across globally distributed teams.