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About the Role
Our Sydney Business Operations Engineering team creates scalable, business-critical applications and tools that automate and support teams across IMC. We are investing heavily in how we scale by using agentic coding to accelerate development, and building AI into the automation itself. You would join a small team with real ownership and a direct line to the people who use what you build.
Responsibilities
- Develop, test, deploy, and maintain high-performance Python applications.
- Build agentic workflows that perform first-pass analysis.
- Design agents that work through a problem end to end.
- Take ownership of end-to-end development, from requirements gathering through to production deployment.
- Use agentic coding tools to move faster, while holding a high bar for what goes into production.
- Apply strong automated testing practices and frequent deployment to deliver incremental value.
- Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.
Requirements
- 3+ years of professional software engineering experience, with a strong focus on Python.
- Shipped something real with LLMs or agentic tooling and can discuss its performance and improvements.
- Experience with automated testing and CI/CD pipelines.
- Strong communication skills and the ability to work with cross-functional teams and non-technical stakeholders.
- Curiosity and a willingness to learn about financial markets or trading.
Skills
- Python
- LLMs
- Agentic tooling
- Automated testing
- CI/CD pipelines
- Communication
Location
- Sydney
Work Type
- Full-time
Experience Level
- 3+ years
About the Company
- IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded.
- A stabilizing force in markets since 1989, IMC provides liquidity across trading venues, delivering the best outcome in value and risk management to investors.
- Using proprietary technology and capital, IMC builds systems and algorithms that operate across global markets.
- Researchers, traders, and engineers work collectively, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.