7d ago , from E-Financial Careers Australia

Build scalable Python-based trading infrastructure and distributed systems, partnering with quantitative researchers and technologists to improve research capabilities, production performance, and productivity across expanding markets.

What You'll Do:

- Build and enhance core platforms supporting trading operations.
- Improve the scalability, reliability, and performance of production systems.
- Work with technologists to evolve distributed systems and engineering capabilities.
- Process and analyze large datasets to support trading and research initiatives.
- Develop solutions that increase productivity across the wider trading organization.

Your responsibilities will include:

- Designing and developing Python software for large-scale distributed systems.
- Contributing to critical research and production infrastructure.
- Identifying technical bottlenecks and developing scalable solutions.
- Collaborating closely with quantitative researchers and fellow engineers.
- Taking ownership of projects from conception through implementation.
- Applying strong analytical and problem-solving skills to complex engineering challenges.
- Supporting systems running in Linux environments.
- Helping establish infrastructure capable of supporting expansion into new markets.

Why Join Us:

- Work directly on technology that powers sophisticated trading operations.




- Partner closely with quantitative researchers and experienced technologists.
- Build infrastructure where improvements can multiply the productivity of an entire team.
- Solve challenging problems involving distributed systems, scalability, and large datasets.
- Have meaningful ownership and influence as the technology platform expands into new markets.

About You:

- 5+ years of professional software engineering experience with Python.
- Robust experience building and supporting large distributed systems.
- Comfortable working extensively within Linux environments.
- Proven experience handling and working with large datasets.
- Excellent analytical and problem-solving capabilities.
- Naturally curious and motivated to understand complex technical challenges.
- Self-directed, accountable, and comfortable taking ownership of projects.
- Able to collaborate effectively with quantitative researchers and technical teams.
- Bachelor's degree in Computer Science, Computer Engineering, or an equivalent qualification.
- Reliable, consistent, and dependable in your professional commitments.

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📌 Trading Systems Software Engineer (New South Wales)
🏢 Westbury Partners
📍 New South Wales