Lead complex initiatives on selected domains
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
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
Lead 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
Design, develop, and deploy AI applications using Enterprise APIs, LLM's, agent frameworks, and other related technologies
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 ones

5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of Sr. Java Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience in Spring Boot, JPA, Microservices, SQL and NoSQL
4+ 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
2+ years Experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility
2+ years Hands-on experience with major GenAI platforms (e.g., Microsoft VS Code, GitHub Copilot ).

Lead Specialty Software Engineer

Key skills