Senior Python Backend Engineer – Real-Time Health Data
Senior Python Backend Engineer – Real-Time Health Data

Senior Python Backend Engineer – Real-Time Health Data

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design scalable backend services for real-time healthcare data management.
  • Company: Silicon Valley HealthTech company with a focus on innovation.
  • Benefits: Fully remote role with competitive salary and flexible working hours.
  • Why this job: Transform healthcare delivery and make a real impact with your coding skills.
  • Qualifications: Expertise in Python, RESTful APIs, and healthcare data security required.
  • Other info: Join a dynamic team dedicated to data-driven healthcare solutions.

The predicted salary is between 48000 - 72000 £ per year.

A Silicon Valley HealthTech company based in the UK seeks a Senior Python Backend Developer to design scalable backend services that manage real-time healthcare data. This fully remote role requires expertise in Python and healthcare data security, with responsibilities including building APIs and ensuring data integrity.

Ideal candidates will have extensive experience with:

  • RESTful APIs
  • Message queues
  • Cloud-native services

Join a team that transforms healthcare delivery with data-driven decisions.

Senior Python Backend Engineer – Real-Time Health Data employer: Lifelancer

Join a pioneering Silicon Valley HealthTech company that champions innovation and excellence in healthcare delivery. As a fully remote employer, we offer a flexible work culture that prioritises employee well-being and professional growth, providing opportunities for continuous learning and development in a dynamic field. With a commitment to transforming healthcare through data-driven solutions, we empower our team to make a meaningful impact while enjoying the unique advantages of working in a cutting-edge industry.
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Contact Detail:

Lifelancer Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Python Backend Engineer – Real-Time Health Data

Tip Number 1

Network like a pro! Reach out to folks in the HealthTech space on LinkedIn or attend virtual meetups. 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 repository showcasing your Python projects, especially those related to healthcare data. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your RESTful APIs and cloud-native services knowledge. Practice coding challenges and be ready to discuss how you've tackled real-time data issues in past roles.

Tip Number 4

Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it helps us keep track of your application and makes it easier for us to connect with you.

We think you need these skills to ace Senior Python Backend Engineer – Real-Time Health Data

Python
Healthcare Data Security
API Development
RESTful APIs
Message Queues
Cloud-Native Services
Scalable Backend Services
Data Integrity

Some tips for your application 🫡

Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to build scalable backend services, especially in the healthcare sector. Don’t forget to mention any projects that involved RESTful APIs or cloud-native services!

Focus on Data Security: Since we're dealing with real-time health data, it's crucial to demonstrate your understanding of data security. Share examples of how you've ensured data integrity in your previous roles. This will show us you’re serious about keeping sensitive information safe.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role!

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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!

How to prepare for a job interview at Lifelancer

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially in relation to building scalable backend services and handling real-time data.

Familiarise Yourself with Healthcare Data Security

Since this role involves managing sensitive healthcare data, it’s crucial to understand the principles of data security in this field. Prepare to talk about any relevant experience you have and how you ensure data integrity in your projects.

Showcase Your API Expertise

Be prepared to discuss your experience with RESTful APIs and message queues. Think of specific examples where you’ve built or improved APIs, and be ready to explain the impact of your work on the overall system performance.

Understand Cloud-Native Services

As this position requires knowledge of cloud-native services, make sure you’re familiar with the platforms and tools commonly used in the industry. Highlight any projects where you’ve successfully implemented cloud solutions to enhance scalability and reliability.

Senior Python Backend Engineer – Real-Time Health Data
Lifelancer

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