Job Opportunities API

Thanks for stopping by! We’re Doctor Care Anywhere: Doctor Care Anywhere Group plc (DCA) is the UK’s largest private provider of telehealth services.  The Company works with insurers, healthcare providers and corporate customers to serve patients with a range of digitally enabled telehealth services on its proprietary platform.  DCA is committed to delivering the best possible patient experience and clinical care through digitally enabled, joined up, evidence-based pathways.  DCA’s strategic ambition is to be the UK market leader in digitally enabled primary care, helping to meet the health needs of patients and payors in a challenging and fast changing environment.  Your new role: 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.  Remuneration : £75,000 Per anum DOE Work location: London office based (up to 2 days WFH) Application Deadline : 9am Friday 17th July 2026 Requirements Software Design & Delivery  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.    AI in the Software Development Lifecycle  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.    Quality, Testing & Reliability  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.    Collaboration & Cross-Functional Working  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.    Continuous Improvement  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.  What Success Looks Like : 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.  Experience & Attributes  Esse