API Backend Engineer - Python/Django, Scalable Cloud

Qureight; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Contributory pension

25 days annual leave

Job summary

Qureight in London and Cambridge is hiring a Software Engineer to scale our platform that orchestrates clinical trial workflows across global sites. You will work on a Python backend, REST APIs, React frontends, and infrastructure on AWS EKS, Terraform, and CI/CD pipelines.

You will write maintainable, testable code, contribute to design and documentation, debug and deploy features, and collaborate with clinicians, scientists, and engineers in an open, learning‑driven environment.

Qualifications

• Proficient in Python and Django development.

Responsibilities

• Execute full software development life cycle (SDLC).
• Develop flowcharts, layouts, and documentation to identify requirements and solutions.
• Write well-designed, testable code.
• Produce specifications and determine operational feasibility.
• Integrate software components into a fully functional software system.
• Document and maintain software functionality.
• Troubleshoot, debug and upgrade existing systems.
• Deploy programs and evaluate user feedback.
• Ensure software is updated with latest features.
• Other activities as required to support company aims and priorities.

Skills

Python

Django

REST APIs

CI/CD

Agile

Unix/Linux

AWS

Terraform

Pydantic

JavaScript/React

Docker/Kubernetes

SQL

Regulated environment

Tools

Terraform

AWS

Docker

Kubernetes

GitLab

Job description

Qureight in London and Cambridge is hiring a Software Engineer to scale our platform that orchestrates clinical trial workflows across global sites. You will work on a Python backend, REST APIs, React frontends, and infrastructure on AWS EKS, Terraform, and CI/CD pipelines.

You will write maintainable, testable code, contribute to design and documentation, debug and deploy features, and collaborate with clinicians, scientists, and engineers in an open, learning‑driven environment.