About Quantium
Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, it is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics.
Position Overview
We're looking for a Senior Software Engineer to help build and scale high‐impact products across retail, health, government, and financial services. The role sits at the intersection of platform, product, and data, working across the full stack to design and deliver robust, production‐grade systems that leverage AI and data capabilities where appropriate.
Responsibilities
* Design and build scalable full‐stack applications that solve real client and business problems
* Develop clean, reliable backend services and APIs that support high‐performance systems
* Build intuitive, well‐structured frontends that make complex workflows and data easy to use
* Work with data scientists and product teams to bring data and AI‐driven features into production where appropriate
* Contribute to system design and architecture, balancing speed, scalability, and maintainability
* Improve engineering quality through strong coding practices, testing, and thoughtful reviews
* Support and mentor other engineers, contributing to a strong team environment
* Translate ambiguous requirements into clear, practical technical solutions
Qualifications
* Strong experience building and shipping production software as a full stack or backend‐leaning engineer
* Solid fundamentals in system design, APIs, and scalable application development
* Experience with one or more backend languages such as C#, Java, Node.js, or Python
* Experience with modern frontend frameworks (React, Angular, Vue) and building usable interfaces
* Familiarity with cloud environments (AWS preferred, but not essential)
* Strong understanding of data flows, APIs, and integrating external or internal services
* Ability to operate in ambiguity and make pragmatic engineering decisions
Preferred Qualifications
* Exposure to working with data platforms, analytics, or machine learning systems
* Experience integrating AI or data‐driven features into applications
* Experience working in consulting, client‐facing, or fast‐paced delivery environments
Benefits
* Flexible work arrangements: hybrid and flexible options to achieve work‐life balance
* Continuous learning: access to the Analytics Community and professional development opportunities
* Remote working: up to 2 months per year outside your assigned home location
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