Top Tech Jobs & Startup Jobs in Belfast

Lead a team developing and optimizing regulatory reporting systems and large-scale financial data pipelines. Responsibilities include hands-on Java and Spring Boot development, microservices and component design, Spark/Hadoop/Hive data processing, Kafka streaming, database optimization, automated testing, secure coding, regulatory onboarding, Agile execution, and technical communication with business, compliance, and technology stakeholders. The role also explores AI/ML automation and anomaly detection within reporting workflows.

Provide technical and business support for critical production applications. Responsibilities include monitoring systems, resolving and escalating incidents, supporting releases and deployments, improving application stability, managing risk and compliance procedures, and coordinating with business users, traders, technology teams, vendors, and junior analysts. The role also involves application configuration, contingency planning, vulnerability assessment, storage and archiving, and mentoring.

Support financial planning and execution for Production Support: manage budgeting, quarterly outlooks, headcount and investment requests, perform month-end close and variance analysis, maintain Project Tracking System data, ensure compliance, and provide senior-management reporting and process standardization across stakeholders.

Lead development of a global equity derivatives pre-trade request-for-quote and pricing platform. Responsibilities include writing production-quality code, designing system enhancements, resolving complex technical and business problems, partnering with trading, sales, quants, and technology teams, and coaching developers. The role requires expertise in Java or Kotlin, microservices, cloud and container deployment, multithreading, Kafka, ELK, testing, and CI/CD, along with knowledge of equity derivatives, trade lifecycles, and FIX workflows.

Lead product design and scalable design-system development for enterprise financial products. Build Figma components, tokens, variables, Boolean logic, documentation, and developer handoff artifacts. Collaborate with product, engineering, research, and QA to deliver accessible, production-ready experiences, review implementations, prevent design drift, and improve design workflows using AI-powered tools. Participate in critiques and maintain high standards for usability, consistency, and visual precision.

Develop complex Java and Spring Boot applications, RESTful microservices, SQL solutions, and automated tests. Apply software engineering principles, CI/CD, source control, and code quality practices while solving complex technical problems. Lead, mentor, and manage application developers. Preferred experience includes big data, cloud-native development, container orchestration, and Jira.

Develop and maintain React-based user interfaces and Java backend services. Write clean, tested code, debug issues, participate in code reviews, collaborate with designers and stakeholders, and assist with database queries while following best practices.

Partner with product and technology teams to research, define, design, prototype, and validate enterprise digital products. Conduct user research, create IA, personas, journeys, wireframes, and high-fidelity designs. Ensure accessibility (ADA/WCAG), maintain design systems, hand off to developers, support implementation, and mentor junior designers while delivering work on agile teams.

Leads global AI-enabled operating model transformation across Production Management. Responsibilities include developing adoption toolkits and training, coordinating regional readiness and deployment, mobilizing change champion networks, integrating AI into operational workflows, managing transformation pipelines, tracking KPIs and value realization, and partnering with engineering and business stakeholders to embed capabilities into BAU operations.

Lead design, engineering and delivery of cloud-native, Databricks/AWS-based data services. Drive migration to Databricks, build scalable Spark/Scala pipelines, optimize performance, mentor teams, manage technical delivery, and enable AI/GenAI integrations while ensuring governance, security and regulatory compliance.