Lead Java Engineer (AI-Assisted SDLC)

EPAM·Australia·Гибрид·вчера

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

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