Responsibilities - Design, build, test, deploy and operate secure full-stack solutions across user interfaces, APIs, services, integrations and cloud platforms. - Translate business and product requirements into scalable, maintainable technical designs and software components. - Write clean, secure, well-structured and appropriately documented code. - Develop and maintain automated unit, integration, API and end-to-end tests. - Use approved AI-assisted tools responsibly for analysis, design, coding, testing, documentation and troubleshooting. - Validate all AI-generated outputs and remain accountable for their quality, security, correctness and licensing compliance. - Protect confidential, personal, proprietary and security-sensitive information throughout development, including when using AI tools. - Troubleshoot defects, incidents and performance issues while improving system reliability, scalability, observability and maintainability. - Create and maintain technical specifications, architecture diagrams, workflows, interface definitions and operational documentation. - Collaborate with stakeholders, contribute to planning and technical decisions, review colleagues’ work, and support other engineers through mentoring and knowledge sharing. ### Requirements

Education and professional experience

• University or college degree in Computer Science, Software Engineering, Engineering, Information Technology, or a related field, or equivalent practical experience.
• Professional experience in full-stack software development or a related software engineering role.
• Experience designing, developing, testing, and maintaining web user interfaces, APIs, backend services, data solutions, and system integrations.
• Experience building scalable, secure, and maintainable software solutions and translating business and product requirements into technical designs.
• Practical experience with version control, code review, debugging, performance optimisation, and technical documentation.
• Experience with CI/CD pipelines, cloud platforms, containerisation, observability solutions, and operational responsibilities is preferred.
• Experience using approved AI-assisted development tools responsibly is preferred.

Language skills

• Good command of written and spoken English, including the ability to produce clear technical documentation and communicate technical decisions effectively.

Technical skills

- Strong understanding of the software development lifecycle, full-stack application architectures, secure development practices, and clean-code principles. - Practical knowledge of at least one modern front-end framework and one backend programming language and framework. - Knowledge of web technologies, RESTful or other APIs, authentication and authorisation solutions, and system-integration patterns. - Working knowledge of relational or non-relational databases, data modelling, queries, and data-management principles. - Proficiency with automated testing frameworks, version-control systems, code-review practices, build pipelines, and CI/CD tools. - Working knowledge of cloud-based development and operational environments, containers, logging, monitoring, and observability. - Ability to use approved AI-assisted tools for analysis, design, coding, testing, documentation, and troubleshooting. - Understanding of the limitations and risks of AI-generated outputs, including validation, confidentiality, security, licensing compliance, and professional accountability requirements.

Personal competencies

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• Strong analytical, systems-thinking, and problem-solving skills.
• - High level of accuracy, quality awareness, and commitment to secure and maintainable software.
• - Ability to work independently, make technical decisions, and take accountable ownership of work throughout the delivery lifecycle.
• - Clear communication, collaboration, and constructive technical feedback skills.
• - Ability to collaborate effectively in cross-functional teams with product, quality assurance, UX, architecture, and operations roles.
• - Strong technical documentation, planning, prioritisation, and organisational skills.
• - Proactive approach to identifying technical risks, security concerns, performance issues, and improvement opportunities.
• - Willingness and ability to continuously develop full-stack, cloud, security, and AI-assisted software engineering knowledge, and to share knowledge, mentor others.