At a Glance
- Tasks: Design and build scalable backend services for AI-driven healthcare applications.
- Company: Join Deep Medical, a pioneering company transforming healthcare with AI.
- Benefits: Competitive salary, equity, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on technical excellence.
- Why this job: Make a real impact in healthcare by building innovative AI solutions.
- Qualifications: 5+ years in backend systems, strong Python or TypeScript skills, and experience with distributed systems.
The predicted salary is between 70000 - 90000 £ per year.
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.
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. 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.
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.
Senior Backend Engineer in London employer: Deep Medical
Deep Medical is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the healthcare landscape. With a focus on employee growth, you will have opportunities to mentor fellow engineers and influence technical strategy while working in a hybrid environment in London. The competitive salary and equity options, combined with the chance to be part of a mission-driven team dedicated to improving patient care through AI-powered solutions, make this an attractive place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deep Medical on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your backend skills. Practice coding challenges related to Python or TypeScript, and be ready to discuss your experience with distributed systems and APIs. We want to see how you think and solve problems!
✨Tip Number 3
Showcase your passion for healthcare technology! During interviews, share your thoughts on how AI can improve patient care and operational efficiency. This will demonstrate that you’re not just a techie, but someone who cares about making a real impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to revolutionise healthcare capacity.
We think you need these skills to ace Senior Backend Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Backend Engineer role. Highlight your experience with backend systems, APIs, and any relevant technologies like Python or TypeScript. We want to see how your skills align with our mission at Deep Medical!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for healthcare technology and how you can contribute to our AI-powered infrastructure. Let us know why you're excited about the opportunity to work with us and what makes you a great fit.
Showcase Your Projects:If you've worked on any relevant projects, make sure to showcase them in your application. Whether it's building scalable systems or integrating AI capabilities, we love seeing real-world examples of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your application!
How to prepare for a job interview at Deep Medical
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python or TypeScript. Brush up on your knowledge of distributed systems and APIs, as these will likely be hot topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around system reliability and performance. Use examples that highlight your ability to architect scalable solutions and how you’ve contributed to operational excellence.
✨Understand the Company’s Mission
Familiarise yourself with Deep Medical's mission to improve healthcare capacity. Be ready to discuss how your skills can contribute to their goals, especially in building AI-powered infrastructure that makes a real difference in patient care.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technical challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
