Junior Software Engineer (Java)

Job Description

About The Role

As a Junior Software Engineer at Sportsbet, you’ll play a key role in building and enhancing the digital products that power our customer experience. Working within our Technology team, you’ll contribute to solution design, systems analysis, and engineering excellence while collaborating with a wide range of technical stakeholders.

This is a fantastic opportunity to grow your skills in a fast-moving, innovative environment where we’re embracing an AI-first approach to engineering and continuously evolving how we deliver value through technology.

Responsibilities include:

• Adopt an AI-first engineering mindset, applying AI tools to enhance productivity, code quality, and customer value.
• Engage technical stakeholders across Sportsbet regarding achievable outcomes to enhance potential of business performance through technology.
• Engage stakeholders in the use of, and value in, technical standards and methods.
• Contribute to detailed technical designs across domains, aligned with Solution Architectures, Domain and PBS best practice.
• Support end to end systems analysis by surfacing cross domain constraints, challenges and opportunities.

About You

While we are big on development and offer on the job training, we want to set you up for success.

You’re a curious and driven engineer who loves solving problems and learning from those around you. You bring a collaborative mindset, enjoy working across teams, and are motivated by seeing your work contribute to real business outcomes. You approach challenges with pragmatism, think holistically about solutions, and are excited by the opportunity to apply modern technologies, including AI, to deliver meaningful impact. You’re comfortable working in a fast-paced environment and continuously looking for ways to improve both your craft and the systems around you.

Along with a great attitude, it would be ideal that you have:

• Experience with Java and Spring Framework.
• Exposure to deploying and maintaining applications on AWS.
• Familiarity with Kafka and event-driven architectures (desirable).
• An understanding of the full SDLC, including high-level estimation and business case development.
• Experience with abstract, logical, physical, and data modelling concepts.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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