Senior Backend Engineer
Senior Backend Engineer (Platform & AI Infrastructure)
📍 London · Hybrid (at least one day in office, Thursday) ·
[Competitive Salary] + Equity
About Deep Medical
- Deep Medical helps healthcare systems treat more patients by recovering capacity that would otherwise be lost.
- Every day, appointments go unused while patients wait for care. Capacity disappears through cancellations, reschedules and non-attendance which create a gap between the resources healthcare organisations have and the care they are able to deliver.
- Our mission is to solve that problem through Healthcare Capacity Intelligence, a new category of AI-powered infrastructure that helps healthcare organisations identify, recover and redeploy capacity before it is lost.
- Our platform continuously analyses operational data, predicts opportunities to recover capacity, The result is shorter waiting times, improved utilisation of clinical resources and better outcomes for patients.
- We're already delivering meaningful results across the NHS, and the next phase is scaling the platform, deepening the intelligence and expanding into new healthcare markets.
The role
- We're looking for a Senior Backend Engineer to help architect, build and scale the core platform powering Deep Medical's products.
- You'll work across distributed systems, healthcare data infrastructure, APIs and AI-powered services partnering closely with CS, product and machine learning teams to bring new capabilities into production.
- We are growing and expanding the team, with the CEO taking personal leadership of the product and engineering vision.
- This isn't a role just about maintaining legacy systems or incrementally improving internal tooling. You'll help build the technical foundations of a category-defining healthcare AI company.
What you'll do
- Design and build scalable backend services and APIs powering AI-driven healthcare applications.
- Architect systems capable of processing large volumes of sensitive healthcare data securely and reliably.
- Build the platform infrastructure that enables Healthcare Capacity Intelligence at scale.
- Collaborate with ML to productionise models and integrate AI capabilities into robust, observable services.
- Own system reliability, performance and operational excellence through monitoring, alerting and observability.
- Design secure systems that meet the demands of healthcare and regulated environments.
- Influence technical strategy and contribute to architectural decision-making.
- As we grow, mentor engineers and help raise the quality and effectiveness of engineering across the organisation.
- Work closely with product and operational teams to deliver solutions with measurable impact.
What we're looking for
Core requirements
- 5+ years building backend systems in production environments.
- Strong experience with ideally either Python or TypeScript.
- Experience designing and operating distributed systems at scale.
- Strong understanding of databases, data modelling and system design.
- Experience building and maintaining APIs (REST, GraphQL and/or gRPC).
- Experience with AWS.
- Experience taking technical ownership of systems and driving projects from design through to production.
- Experience with Docker, ECS, Kubernetes or similar container platforms.
Nice to have
- Experience deploying and operating ML or AI systems in production.
- Experience with Django Framework.
- Experience with IaC such as terraform.
- Familiarity with GDPR, information security and compliance frameworks.
- What success looks like in your first 12 months
- You're a trusted technical owner of core platform services.
- You've improved platform scalability, reliability and observability in measurable ways.