Senior Python Engineer for Trading & Research Platforms

Westbury Partners; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Westbury Partners in Sydney is seeking a Senior Python Engineer to develop high-performance trading and research systems. You will collaborate with traders and researchers to build scalable software that supports back-testing, analytics, and risk assessment.

The role emphasizes distributed computing, containerized environments, and cloud deployments. Strong Python expertise and communication are essential in a fast-paced financial engineering team.

Qualifications

• 5+ years of professional experience in Python software development.
• Strong background in numerical computing and data processing.
• Experience with cloud-based infrastructure, Kubernetes, and containerized environments.
• Familiarity with distributed computing frameworks such as Dask or Spark.
• Passion for problem-solving and technical innovation.
• Strong communication skills and ability to work in a collaborative environment.

Responsibilities

• Writing clean, efficient, and scalable Python code.
• Enhancing quantitative research infrastructure, including back-testing frameworks and distributed computing tools.
• Building tools for trade analysis, visualization, and automation.
• Implementing CI/CD pipelines, automated testing, and cloud-based data processing solutions.
• Working with numerical computing frameworks like Pandas, NumPy, and Dask.
• Managing containerized environments using Docker and Kubernetes.
• Collaborating closely with cross-functional teams, ensuring smooth communication between engineers and traders.

Skills

Python

Numerical computing

Cloud infrastructure

Kubernetes

Docker

Distributed computing

Back-testing

Tools

Pandas

NumPy

Dask

Spark

Job description

Westbury Partners in Sydney is seeking a Senior Python Engineer to develop high-performance trading and research systems. You will collaborate with traders and researchers to build scalable software that supports back-testing, analytics, and risk assessment.

The role emphasizes distributed computing, containerized environments, and cloud deployments. Strong Python expertise and communication are essential in a fast-paced financial engineering team.