Lead Java Engineer (Ai-Assisted Sdlc)

EPAM Systems Inc

New South Wales

On-site

AUD 140,000 - 190,000

Full time

2 days ago
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Job summary

EPAM Systems Inc in Australia seeks a Lead Java Engineer (AI-Assisted SDLC) to build and run a core clearing platform while scaling AI-enhanced workflows using Claude. Stay hands-on in Java and own BAU delivery, collaborating with stakeholders on analysis, prioritization, planning and reporting.

You will lead Java microservice design and delivery, drive AI-assisted SDLC patterns, ensure robust production outcomes, and promote modern Git workflows, CI/CD and DevOps across the team.

Qualifications

  • Proven experience building Java microservices in enterprise environments.
  • Hands-on technical leader who writes production code.
  • Experience with AI-assisted development tools (Claude, Copilot).

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

Skills

Java
Spring Boot
AI-assisted development
Team leadership
API/microservices
Kafka
CI/CD
DevOps
Communication

Tools

Kafka
MQ
GitHub Copilot
Claude

Job description

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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