Lead Java Engineer (AI-Assisted SDLC)

EPAM Systems; Australia; In loco; AUD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

EPAM Systems Inc. is seeking a Lead Java Engineer to build and run a core clearing platform while scaling AI-assisted ways of working using Claude.

You will stay hands-on in Java, own a slice of BAU delivery and partner with business stakeholders on analysis, prioritization, planning and outcome reporting. Responsibilities include leading Java microservice development, end-to-end BAU delivery, and defining AI-assisted SDLC patterns with Claude.

Competenze

• Experience delivering Java microservices in enterprise environments.
• Hands-on technical leadership with production code.
• Strong API/microservices background and event-driven design.
• Experience with CI/CD, Git workflows, and DevOps practices.
• Experience with Kafka or MQ messaging.

Mansioni

• Build and run Java microservices for a core clearing platform.
• Own end-to-end delivery for a defined BAU scope.
• Define AI-assisted SDLC patterns using Claude, prompts and gates.
• Leverage AI tools to improve analysis, planning and delivery.
• Collaborate with stakeholders to shape requirements and outcomes.
• Enhance event-driven integrations using Kafka or MQ.
• Improve engineering quality via modern Git workflows and reviews.

Conoscenze

Java

Spring Boot

Technical leadership

API & microservices

Kafka/MQ

Agile (Jira)

CI/CD / DevOps

Stakeholder communication

Strumenti

Claude

GitHub Copilot

Docker

Descrizione del lavoro

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.