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EPAM Systems Inc in Australia seeks a Senior Java Engineer (AI-Assisted SDLC) to build and support a core clearing platform, leveraging Claude daily across design, coding, testing, review and documentation. You will ship small, well-tested changes each sprint, strengthen APIs and event-driven services, and work with domain experts to translate business needs into robust software.
This role focuses on Java services, SQL data models, and CI/CD hygiene, offering exposure to cutting-edge AI tools
We are seeking a Senior Java Engineer (AI-Assisted SDLC) . You will build and support a core clearing platform, using Claude daily across design, coding, testing, review and documentation. You will ship small, well-tested changes early, work closely with domain experts and strengthen APIs, integrations, SQL models and event-driven services.
Build and enhance Java services for a core clearing platform across BAU and change delivery Use Claude or equivalent agentic tools daily to accelerate design, coding, testing, review and documentation Deliver small, well-tested improvements each sprint, balancing speed with release safety Develop and maintain APIs and microservices, including integration patterns and service contracts Support event-driven integrations using messaging technologies such as Kafka or MQ Work with relational data models, writing efficient SQL and supporting data quality Contribute to CI/CD pipelines, deployment hygiene and operational readiness Collaborate with domain experts to translate business processes into code, tests and specifications
Java skill sets, including modern Java (17+) and frameworks such as Spring Boot Generative AI in SDLC experience, with practical Claude usage and examples of productivity gains API and integration background across microservices and distributed systems SQL capability with relational data models and query optimization fundamentals Event-driven systems knowledge using tools such as Kafka or MQ CI/CD and DevOps understanding to support reliable releases Cloud and containers exposure for deployment and runtime operations
Derivatives or clearing domain knowledge (ETD or OTC, margin, positions, settlement) Knowledge graphs or semantic models and exposure to Model Context Protocol (MCP) FIX protocol knowledge and client or exchange connectivity Python exposure for automation, analytics or AI integrations