Senior Java Framework Engineer – SaaS & AI Tools

Sterland Computing

Sydney

Remote

AUD 120,000 - 180,000

Full time

6 days ago
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Job summary

DMSi is seeking an experienced Java Developer to design, develop, and maintain reusable components and shared frameworks powering ERP apps. You will drive architectural patterns for multi-tenant SaaS, optimize performance, and uphold security standards across the ecosystem.

Join a team focused on innovation and customer success, collaborating with product teams and leveraging AI-assisted tooling to boost productivity and reduce technical debt.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent.
  • 3-7 years of hands-on Java development, including shared frameworks or platform components.
  • Experience with multi-tenant SaaS architectures and enterprise apps.

Responsibilities

  • Design and develop reusable components, libraries, and frameworks used across ERP apps.
  • Apply architectural patterns for multi-tenant SaaS with emphasis on performance and scalability.
  • Optimize framework performance and ensure security best practices (OAuth/JWT, OWASP).
  • Champion AI-assisted development tools to speed delivery and reduce debt.
  • Conduct peer code reviews and participate in framework design discussions.
  • Collaborate with product teams to translate requirements into technical solutions.

Skills

Java development
Framework development
Software architecture
AI tooling usage
DevOps practices
Code reviews
Team collaboration

Education

Bachelor's degree in CS/SE or related

Tools

Spring Framework (Boot, Security, Data, Cloud)
CI/CD pipelines
GWT

Job description

DMSi is seeking an experienced Java Developer to design, develop, and maintain reusable components and shared frameworks powering ERP apps. You will drive architectural patterns for multi-tenant SaaS, optimize performance, and uphold security standards across the ecosystem.

Join a team focused on innovation and customer success, collaborating with product teams and leveraging AI-assisted tooling to boost productivity and reduce technical debt.

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