About the role

Intermediate Full Stack Software Engineer building and optimising technology for LekkeSlaap, South Africa’s leading accommodation booking app.

Responsibilities

Design, build, test, and deploy scalable and maintainable web applications across the full stack.
Optimise system performance and implement secure coding practices that meet industry standards and protect customer data.
Participate in peer code reviews, maintaining high standards for maintainability, readability, and test coverage.
Partner with product managers, designers, and other developers to translate business needs into technical solutions.
Diagnose and resolve software bugs, bottlenecks, and performance issues quickly and effectively.
Maintain clear, practical technical documentation that captures system context and business logic to support ongoing development and long-term maintainability.
Contribute to the continuous improvement of tools, frameworks, and practices to enhance development efficiency and product quality.
Actively identify opportunities to introduce automation and AI-assisted solutions across the development lifecycle, from testing and deployments to internal tooling and workflows, and product features for our guests & hosts.
Develop solutions with a platform-agnostic mindset to support long-term scalability and flexibility.
Take full ownership of features, and collaborate across departments to ensure successful integration.

3–5 years of proven experience as a Full Stack Software Engineer or similar role, ideally within a web-based, high-traffic, user-facing product environment
Proficiency in our stack, or similar technologies, as outlined above
Familiarity with software design principles, coding best practices, and scalable architecture
Experience with version control systems, particularly Git
Keen interest in using AI tools and automation to improve productivity, code quality, and development workflows
Good eye for UI/UX design and experience with relevant tools (eg. Figma).
Experience or strong interest in Machine Learning, Data Analytics, or data-driven product development.
Prior exposure to AI-powered features, automation tooling, or intelligent systems.
Comfortable with the terminal, Linux and Git.
Hands-on experience with containerisation (Docker) and orchestration tools (eg. Nomad/Kubernetes).
Exposure to continuous integration and deployment pipelines (eg. Github Actions).
Experience with cloud platforms such as AWS and infrastructure-as-code (eg. Terraform).
Understanding of the web infrastructure—DNS, HTTP, SSL, loadbalancing, etc.