Lead complex initiatives on selected domains
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
Stay up to date with the latest advancements in AI, LLM second agentic frameworks and apply this knowledge to improve existing systems and develop new one
Design, develop, and deploy AI applications using Enterprise APIs, LLM's, agent frameworks, and other related technologies
Define opportunities to maximize resource utilization and improve processes while reducing cost
Lead, design, develop, test, and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
Resolve coding, testing, and escalated platform issues of a technically challenging nature
Led team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Mentor less experienced software engineers
Collaborate and influence all levels of professionals including managers
Lead team to achieve objectives
Partner with production support and platform engineering teams effectively

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of experience in Spring Boot, JPA, Microservices, SQL and NoSQL
3+ year of experience in Capital Markets Technology working on building solutions in any of the following areas (Pricing & Risk Management, Trade lifecycle, Sales & Trading, Prime services or Securities Clearing and Settlements)
2+ years of experience in React.js
2+ years of experience in Kubernetes/OpenShift
2+ years of experience in Apache Kafka/Confluent Enterprise
2+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.
1+ years of experience building and using AI MCPs and Agents.

Senior Java Software Engineer

Key skills