Senior Java Software Engineer

The Role

You will join a Fraud & Financial Crime engineering capability, responsible for building and evolving core risk engines and real‑time decisioning platforms that support high‑volume, mission‑critical banking and payments use cases.

This is a hands‑on senior engineering role with a strong emphasis on AI‑driven development. Engineers in this team actively use tools such as GitHub Copilot and Claude to accelerate feature delivery, assist with design, generate boilerplate, improve test coverage and speed up problem solving. There is a clear expectation that you understand, review and validate AI‑generated outputs, applying sound engineering judgement at all times.

You will work within a co‑located agile squad, delivering systems that ingest large data volumes and return decisions in real time across domains including credit cards, digital banking, payments and identity/origination flows.

• 12‑month contract focused on AI‑accelerated engineering using tools like Claude
• Hands‑on role building real‑time fraud and risk decisioning platforms at scale
• Competitive daily rate + 2 days Work from Home hybrid arrangement

Key Responsibilities

• Design, build and maintain core fraud and risk decisioning services
• Deliver high‑impact features in short, iterative cycles
• Build Java microservices supporting real‑time decision flows
• Use GitHub Copilot and Claude to accelerate coding, testing and solution design
• Review, refine and validate AI‑assisted code before production release
• Contribute to shared engineering platforms and reusable services
• Collaborate closely with product managers and DevSecOps engineers
• Improve system scalability, resilience and observability
• Produce clean, well‑tested, production‑ready Java code

What You Bring to the Table

• Strong Java backend engineering capability
• Experience building microservices and RESTful APIs
• Exposure to event‑driven and streaming architectures (e.g. Kafka or similar)
• Experience with fraud, risk, rules engines or complex data‑driven systems
• Hands‑on experience using AI coding tools such as GitHub Copilot or Claude in day‑to‑day development
• Cloud‑native development experience
• Containerisation and orchestration using Docker and Kubernetes
• CI/CD pipelines and automated testing practices
• SQL and relational databases (NoSQL exposure beneficial)
• Strong software engineering fundamentals and ownership mindset

Benefits

• Work in a team where AI‑assisted development with Claude and Copilot is encouraged and embedded, not experimental
• 12‑month contract offering stability while delivering complex, high‑impact platforms
• Strong engineering culture focused on quality, autonomy and modern delivery practices

Location & Working Model

• Based in Sydney or Melbourne
• Hybrid working model – 3 days in the office, 2 days working from home