Back to SearchSenior Python Engineer (AI-Assisted SDLC)
Hybrid in Australia: Sydney
Python.Core& 13 others
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We are seeking a Senior Python Engineer (AI-Assisted SDLC). You will build and maintain production services for a core clearing platform, using Claude daily across design, coding, testing, review and documentation. You will ship small, well-tested changes early, work with domain experts and integrate with existing Java services, APIs, SQL and event-driven systems.
Responsibilities
- Build and maintain Python production services, focusing on reliability and safe change
- Use Claude or similar tools daily to speed up design, coding, testing, review and documentation
- Deliver small, well-tested enhancements each sprint in an established codebase
- Design and implement REST APIs and microservices, including integration patterns and service contracts
- Integrate Python services with existing Java services and platform components
- Develop event-driven integrations using messaging technologies such as Kafka or MQ
- Work with relational databases from the application tier, including SQL and object-relational mapping patterns
- Contribute to CI/CD pipelines, containerized deployments and cloud release practices
Requirements
- Python skill sets for application development using FastAPI, Django or Flask, including async programming concepts
- Generative AI in SDLC experience, with practical Claude usage and examples of productivity gains
- API and integration background across REST services and microservices architectures
- SQL capability and experience working with relational databases from the application tier
- Git and modern engineering workflows experience, including code review and CI/CD-oriented delivery
Nice to have
- Derivatives or clearing domain knowledge (ETD or OTC, margin, positions, settlement)
- Experience building AI integrations in enterprise apps, including Claude API or Model Context Protocol (MCP) servers
- Knowledge graphs or semantic models such as Neo4j or RDF/OWL
- Capital markets technology exposure in banks, brokers or clearing houses