Top Python Developer Jobs in Sydney

Develop and maintain scalable Python applications, APIs, microservices, and data pipelines using PySpark and Airflow. Deploy and operate solutions on Azure with Docker and Kubernetes, implementing monitoring, logging, alerting, and production support. Collaborate with product managers, data scientists, and engineering teams on global projects while contributing to coding standards, architecture, testing, documentation, and Agile delivery.

Build and maintain scalable data systems that normalize vendor and proprietary market data for trading and research. Calculate bars, residuals, curves, volatility surfaces, greeks, and other derived analytics from streaming and large-scale datasets. Collaborate with traders, researchers, vendors, and APAC teams; provide production support, document technical methodologies, and develop thoroughly tested solutions.

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.

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.

Enhance Python applications, collaborate with traders, lead projects, provide support, and ensure best software practices.