Job Openings M36 - Full Stack Engineer

About the job M36 - Full Stack Engineer

Overview

  • This role combines hands-on software engineering with legacy modernisation, operational resilience, and digital transformation. 
  • You will help maintain and enhance complex mission-critical systems while progressively improving architecture, security, observability, developer practices, and the responsible use of AI to accelerate engineering outcomes. 
  • You will be expected to work across both change delivery and production support contexts, balancing system stability, regulatory obligations, and long-term technical renewal.

Responsibilities 

  • Develop, enhance and maintain software for STARS and ELS across both legacy and modernised components, ensuring reliability, correctness and maintainability.
  • Work on complex business workflows that support land title registration, lodgement, payment, document handling, reporting and search functions.
  • Analyse and implement system changes with care in a tightly coupled environment with numerous upstream and downstream interfaces.
  • Support modernisation initiatives such as platform upgrades, code remediation, refactoring, API enablement, removal of obsolete components, and progressive architecture improvements.
  • Contribute to digital transformation efforts, including improving system usability, automation, straight-through processing and integration with new digital services.
  • Use AI tools responsibly to improve engineering productivity in areas such as code analysis, documentation, test design and development acceleration, while critically reviewing all AI-generated outputs for correctness, security, maintainability and compliance.
  • Participate in incident investigation, root cause analysis, defect remediation and production support to maintain system stability and service availability.
  • Strengthen engineering quality through testing, code review, secure coding, dependency hygiene, observability and DevSecOps practices.
  • Collaborate with product owners, users, architects, operations teams, cybersecurity stakeholders and vendors to deliver solutions that are practical, secure and aligned with SLA's priorities.
  • Document technical design, system behaviour, integration logic and operational considerations to support knowledge retention and reduce dependency on individuals or vendors.
  • In this role, you will be expected to make sound engineering trade-offs in a legacy environment where data integrity, security, auditability and service continuity are critical. 
  • You should be comfortable working with large and complex codebases, investigating difficult defects, understanding business rules embedded in older implementations, and helping the team move progressively toward better engineering practices and future-state architecture.

Requirements

  • Degree in Computer Science, Software Engineering, Information Systems or a related discipline, or equivalent practical experience.
  • At least 3–5 years of relevant experience in software engineering, application maintenance, or enterprise system development.
  • Strong programming and debugging skills, with experience in one or more of the following: Java, JSP, JavaScript, SQL, PL/SQL, shell scripting, or related enterprise technologies.
  • Experience working with large, complex or legacy application systems, including troubleshooting production issues and understanding tightly coupled business logic.
  • Familiarity with web application and enterprise platform concepts such as APIs, application servers, databases, batch processing, authentication flows, and system integrations.
  • Experience with software delivery practices such as version control, CI/CD, automated testing, release management and environment management.
  • Working knowledge of secure coding principles and application security practices, with appreciation of vulnerability remediation and operational risk management.
  • Good analytical thinking and problem-solving ability, with a disciplined approach to change impact assessment and root cause analysis.
  • Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
  • Ability to learn quickly, take ownership of assigned work, and contribute in a structured, high-accountability environment.