Key Responsibilities
Quality Assurance, Testing & Release Management
- Lead quality assurance and test engineering practices across the development lifecycle.
- Design, develop, and maintain automated tests for applications, APIs, integrations, and user interfaces.
- Establish and improve regression testing and release-readiness processes.
- Support defect management, root cause analysis, and corrective action planning.
- Review test coverage and quality of both developer-created and AI-generated tests.
DevOps & Release Support
- Support CI/CD pipelines, deployment workflows, and release processes.
- Troubleshoot build, deployment, and environment-related issues.
- Maintain deployment documentation and operational procedures.
- Contribute to monitoring, logging, backup, recovery, and platform reliability initiatives.
- Improve release consistency and deployment confidence.
Full Stack Development & Code Quality
- Design, develop, test, and maintain front-end and back-end application components.
- Build and support APIs, integrations, database-driven functionality, and user interfaces.
- Investigate and resolve defects, performance bottlenecks, and production issues.
- Perform code reviews and promote secure, maintainable, and scalable development practices.
- Support refactoring, technical debt reduction, and engineering standards.
Technical Leadership & Mentoring
- Assist with technical planning, backlog refinement, and implementation delivery.
- Provide guidance and mentorship to developers on testing, debugging, DevOps, and software quality practices.
- Promote the responsible use of AI-assisted development tools to improve productivity and code quality.
- Escalate significant architectural, security, or platform-related risks appropriately.
Minimum Qualifications & Experience
Required
- Qualification in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, Statistics, or a related field.
- 5-8 years of software development experience.
- Proven full-stack development expertise across front-end, back-end, API, and database technologies.
- Strong experience in QA, automated testing, regression testing, and release management.
- Experience supporting DevOps processes, CI/CD pipelines, and deployment environments.
- Strong SQL, relational database, Git, and code review experience.
- Experience mentoring and supporting development teams.
Advantageous
- Experience with SaaS products and product development environments.
- Exposure to geospatial, agricultural technology, analytics, or data-intensive platforms.
- Experience with cloud platforms and modern deployment architectures.
Technical Skills
Essential
- Automated testing, regression testing, integration testing, and API testing.
- Git, GitLab, and CI/CD pipeline management.
- Docker and containerised development environments.
- Ansible deployment automation.
- Secrets and configuration management platforms.
- Full-stack application development.
- AI-assisted development tools and quality review practices.
Preferred
- Python, Django, Django REST Framework.
- Vue.js, JavaScript, TypeScript.
- PostgreSQL and database optimisation.
- Linux, Redis, Celery, and cloud technologies.
- Nginx, Caddy, or reverse-proxy technologies.
- Kafka and event-driven architectures.
- GIS, PostGIS, or spatial database exposure.
- Automated testing frameworks and front-end test automation.
Key Competencies
Technical
- Full-stack software development
- Quality engineering and automated testing
- DevOps and release management
- Secure coding and troubleshooting
- CI/CD and deployment automation
- Code review and technical mentoring
Behavioural
- Strong attention to quality and detail
- Analytical and problem-solving mindset
- Excellent communication and collaboration skills
- Ability to balance delivery timelines with engineering excellence
- Ownership, accountability, and continuous improvement mindset
Success Measures
Success in this role will be demonstrated through:- Increased automated test coverage across critical business processes.
- Improved release readiness and software reliability.
- Reduced production defects and technical rework.
- Stronger code quality and development standards.
- More reliable CI/CD and deployment processes.
- Better technical documentation and knowledge sharing.
- Effective developer mentoring and capability building.
- Reduced reliance on senior leadership for routine testing, release, and quality assurance activities.
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