Top Python Developer Jobs in Melbourne

Develop and maintain cloud platform regression automation on GCP using Python and SQL. Automate large-scale transactional reconciliation, validate data quality and near-real-time data availability, and test across multiple data layers. Work with GCP services, data warehouses, ETL processes, transformations, and CI/CD deployments. Preferred experience includes Neo4j, Cypher, and high-volume transactional data validation.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Perform manual and automated testing (50/50) of real-time systems using Python scripting. Design and execute functional, non-functional, acceptance, and system tests. Track work in JIRA within Agile teams, define test requirements, communicate results, and manage multiple priorities.

Build and maintain backend API services for a decentralized exchange, implement trade routing logic for cross-chain swaps, monitor and optimize performance, collaborate with teams on new features, and troubleshoot trade execution and API issues.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.