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For Companies At a Glance
- Tasks: Design scalable backend services and build APIs for real-time healthcare data processing.
- Company: Join a Series C Silicon Valley HealthTech transforming healthcare delivery.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare with cutting-edge technology and innovative solutions.
- Qualifications: 5+ years of Python backend development and experience with healthcare data.
- Other info: Collaborative environment with cross-functional teams and excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
Our client is a Series C Silicon Valley HealthTech with teams in San Francisco and London. We are hiring a Backend Engineer to work on the backbone of a platform that combines real-time data, AI insights, and personalized care pathways to transform healthcare delivery. This role is fully remote within the UK without work visa sponsorship.
Core Responsibilities
- Design and implement scalable backend services that ingest, transform, and persist diverse health data.
- Build APIs and data pipelines for real-time and batch processing, ensuring data integrity, security, and compliance.
- Integrate with external systems and protocols including FHIR APIs, BLE-based devices, Apple HealthKit, and Google Fit.
- Ensure backend services are designed for high availability, reliability, and low latency, especially for real-time clinical decision support.
- Collaborate with security and compliance teams to ensure HIPAA-compliant handling of PHI/PII data.
- Work cross-functionally with product, clinical, and AI teams to align backend capabilities with user-facing experiences and clinical workflows.
- Contribute to CI/CD pipelines, observability tooling, and data quality monitoring.
Requirements
- 5+ years of backend development experience in Python.
- Experience with healthcare data types and sources: EHRs (FHIR/HL7), wearables (PPG, ECG, accelerometer), vitals, surveys.
- Strong understanding of data security, encryption, access control, and handling regulated healthcare data (HIPAA, SOC 2).
- Proficiency in building and maintaining RESTful APIs, message queues (Kafka, Pub/Sub, RabbitMQ), and cloud-native services (GCP, AWS).
- Experience with databases (PostgreSQL, BigQuery, MongoDB and TimescaleDB) and data modeling for time-series or medical data.
- Familiarity with event-driven architecture, microservices, and containerization (Docker, Kubernetes).
Desired Skills and Experience
- Python; Kafka; Data Streaming; EHR.
Senior Python Backend (Data Streaming) employer: Lifelancer
Contact Detail:
Lifelancer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Backend (Data Streaming)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile or personal website showcasing your projects, especially those related to Python and data streaming. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying!
We think you need these skills to ace Senior Python Backend (Data Streaming)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and backend development. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background in healthcare data can contribute to our mission. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to data integrity and security. We’re looking for someone who can think on their feet and adapt to new situations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Lifelancer
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around backend development. Be ready to discuss your experience with frameworks and libraries relevant to data streaming, as well as any projects you've worked on that showcase your expertise.
✨Understand Healthcare Data
Familiarise yourself with healthcare data types and sources like EHRs, wearables, and the specific protocols mentioned in the job description. Being able to speak knowledgeably about FHIR APIs and how they integrate with backend services will definitely impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've designed scalable backend services or built APIs. Think of examples that highlight your ability to ensure data integrity and security, especially in a healthcare context. This will demonstrate your practical experience and critical thinking.
✨Collaborate and Communicate
Since this role involves working cross-functionally, be ready to talk about your collaboration experiences. Share examples of how you've worked with product, clinical, or AI teams to align backend capabilities with user needs. Good communication skills can set you apart!
