We are seeking a Lead Java Engineer (AI-Assisted SDLC). You will build and run a core clearing platform while scaling AI-assisted ways of working using Claude. Stay hands-on in Java, own a slice of BAU delivery and partner with business stakeholders on analysis, prioritization, planning and outcome reporting.
Responsibilities
- Build and enhance Java microservices for a core clearing platform across BAU and change delivery
- Own end-to-end delivery for a defined BAU scope, from analysis and prioritization to planning and reporting
- Set practical AI-assisted SDLC patterns using Claude, including specs, prompts, review gates and validation checks
- Use AI tools to improve throughput in analysis, documentation, planning and delivery
- Partner with business stakeholders and domain experts to shape requirements and unblock decisions
- Improve event-driven integrations using messaging technologies such as Kafka or MQ
- Strengthen engineering quality through modern Git workflows, code reviews and CI/CD practices
- Support reliable production outcomes through DevOps-aligned delivery and operational readiness
Requirements
- Java expertise, including modern Java (17+) ecosystems such as Spring Boot
- AI-assisted development experience using Claude, Claude Code, GitHub Copilot or similar tools
- Technical leadership skill sets in a hands-on role, guiding delivery while writing production code
- API and microservices development background in enterprise environments
- Event-driven integration experience with tools such as Apache Kafka or MQ
- Agile delivery capability, including backlog management, prioritization and planning in Jira or similar
- CI/CD and DevOps understanding to support safe releases and stable production outcomes
- Clear communication with business stakeholders, including progress reporting and outcome-focused updates
Nice to have
- Derivatives or clearing domain knowledge (ETD or OTC, trade lifecycle, margin, positions, settlement)
- Python exposure for automation, analytics or AI integrations
- FIX protocol knowledge and client or exchange connectivity