Full-Stack Software Engineer
Job Summary
Scan Global Logistics is seeking a full-stack engineer to build and ship end-to-end features while integrating AI into production code. The role involves managing CMS architecture, automating build and release processes, and implementing robust identity and data-protection controls. Candidates should have 2-4 years of experience and a strong grasp of cloud, CI/CD, and documentation practices.
Responsibilities
- Build and ship full-stack web features across front end, API layer, and database
- Deliver AI-enabled functionality into production applications
- Run CMS architecture and migration work
- Automate build, test, and release using GitHub Actions and Azure pipelines
- Implement identity, access, and data-protection controls and technical documentation
Required Skills
- Full-stack web engineering
- AI production integration and prompt design
- Cloud, CI/CD, GitHub Actions, and Azure pipelines
- CMS architecture and data migration
- Identity, access, and data-protection controls
Job Details
General Overview of the Job: A broad full-stack engineer who ships features end to end and is already working with AI in production code. This is a delivery role for someone early in their career but demonstrably fast-moving: comfortable in the cloud, disciplined about CI/CD and identity, and willing to write the documentation that lets others take over the work.
Job Duties and Responsibilities: Build and ship full-stack web features across the front end, API layer and database. Deliver AI-enabled functionality into production applications, including prompt design, retrieval and model integration. Run CMS architecture and migration work, covering content modelling, data migration and cut-over. Automate build, test and release using GitHub Actions and equivalent Azure pipelines. Implement identity, access and data-protection controls, and produce the technical documentation and turnover material that goes with each delivery.
Qualifications and certifications: Bachelor's degree in computer science or software engineering. Microsoft Certified: Azure Fundamentals and Azure AI Fundamentals; GitHub Foundations, GitHub Copilot or GitHub Administration certification is an advantage. Roughly two to four years of professional experience; a strong recent graduate with a substantial delivery portfolio will also be considered.