Senior Python Engineer: Production & Infra, Global Impact

Westbury Partners; Sydney; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

AD&D insurance

Paid vacation and holidays

Retirement contributions

Parental leave

Wellness programs

Job summary

Westbury Partners in Sydney is seeking a Python engineer to design, build, test, and maintain scalable applications that support complex infrastructure and internal users across global teams.

You will collaborate with users to translate requirements, work through the full SDLC, and develop back-end and front-end components using Python, Go, Django, Flask, Dash and React, while leveraging Kubernetes, Kafka, SQL/NoSQL and modern data stores.

Qualifications

• Strong Python programming experience with emphasis on code quality.
• Ability to translate complex requirements into practical software.
• Collaborative mindset with stakeholders across distributed teams.

Responsibilities

• Design, develop, test, and maintain high-quality Python applications.
• Collaborate with users to translate requirements into software solutions.
• Contribute across the full SDLC from architecture to deployment and improvement.
• Work with sysadmins, network engineers and other specialists on infrastructure challenges.
• Develop back-end and front-end apps using Python, Go, Django, Flask, Dash and React.
• Work with Kubernetes, Kafka, SQL/NoSQL and high-performance data stores.
• Participate in Agile development with testing and shared code ownership.
• Take on additional responsibilities and technical challenges as required.

Skills

Analytical mindset

Collaborative

Linux administration

Tools

Python

Go

Django

Flask

Dash

React

Kubernetes

Kafka

SQL

NoSQL

Job description

Westbury Partners in Sydney is seeking a Python engineer to design, build, test, and maintain scalable applications that support complex infrastructure and internal users across global teams.

You will collaborate with users to translate requirements, work through the full SDLC, and develop back-end and front-end components using Python, Go, Django, Flask, Dash and React, while leveraging Kubernetes, Kafka, SQL/NoSQL and modern data stores.