Full Stack Engineer, Doctor Care Anywhere

• 5 to 6 years of professional software engineering experience building and running production systems
• Demonstrable full stack delivery, comfortable owning a feature across backend, frontend, data, and deployment
• Practical experience introducing or scaling AI tooling within an engineering workflow, not just personal use
• Familiarity with AI coding assistants and agentic tooling (for example GitHub Copilot, Claude Code, Cursor, or similar) and a considered view on where they help and where they do not
• Strong experience in a modern backend language and framework (for example C# / .NET, Node.js, Python, or Go)
• Sound API design (REST or GraphQL) and experience with relational and, ideally, caching or NoSQL data stores
• Solid experience with a modern JavaScript framework (React and TypeScript preferred) and an eye for usable, accessible interfaces
• Comfortable with cloud platforms (Azure preferred), CI/CD pipelines, and infrastructure as code
• A pragmatic approach to security, performance, and technical debt
• Excellent communication skills and the ability to collaborate effectively across a wider team

Desirable

• As a Full Stack Engineer at Doctor Care Anywhere, you will design, build, and run features across the whole stack, from data model and API through to the user interface
• With 5 to 6 years of hands-on experience, you will own your work end to end and bring a track record of using AI across the software development lifecycle to make delivery faster, safer, and higher quality
• You will help shape how the wider engineering team adopts AI-assisted development in a responsible, measurable way, while holding a high bar for security, performance, and maintainability in a regulated healthcare environment
• Design, build, and maintain features across the full stack, owning them from concept through to production and support
• Write clean, well-tested, maintainable code across backend and frontend, and hold a high bar in code review
• Contribute to architecture and technical design decisions, weighing trade-offs across performance, security, cost, and maintainability
• Break down complex requirements into well-scoped, deliverable pieces of work
• Embed AI into everyday engineering practice across coding, code review, test generation, and documentation, wherever it delivers real leverage
• Help define good practice for AI-assisted development, including where it adds value and where human judgement stays in control
• Ensure AI-assisted output is reviewed, secure, and fit for a production healthcare environment
• Measure and share the impact of AI adoption, such as improvements in cycle time, test coverage, or review effort
• Build automated tests at unit, integration, and end-to-end levels as a routine part of delivery
• Diagnose and resolve production issues, using observability and telemetry to reach root cause rather than symptoms
• Partner with product, design, and other engineers to turn requirements into working software
• Communicate technical decisions and trade-offs clearly to both technical and non-technical audiences
• Mentor other engineers and raise the overall capability of the team
• Support Agile ways of working and contribute to improving team processes
• Keep current with modern engineering practice, tooling, and AI developments, and bring ideas back to the team
• Champion secure, maintainable, and pragmatic engineering across the platform
• Features are delivered end to end, well tested, and running reliably in production
• AI is used across the SDLC in a way that measurably improves quality and delivery speed
• AI-assisted output is consistently secure, reviewed, and fit for a regulated environment
• Engineering standards and team capability improve through your contribution

• Application Deadline: 9am Friday 17th July 2026