Senior Full-Stack Architect - Remote-First Platform Lead in Leeds

Senior Full-Stack Architect - Remote-First Platform Lead in Leeds

Leeds Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
The Flex

At a Glance

  • Tasks: Lead the architecture and development of innovative web applications and APIs.
  • Company: The Flex, a forward-thinking company redefining global living.
  • Benefits: Remote-first work culture with high ownership and flexibility.
  • Why this job: Join a team shaping the future of technology and global living.
  • Qualifications: Strong experience with FastAPI, React, AWS, and scalable systems.

The predicted salary is between 50000 - 70000 Β£ per year.

The Flex is redefining global living and is seeking a Lead Full-Stack Engineer based in Leeds. The role is pivotal to the architecture and technical direction of the Flex platform, covering web applications, APIs, and cloud infrastructure. This position emphasizes hands-on development without management responsibilities.

Ideal candidates have strong experience with FastAPI, React, and AWS, and a history of building scalable, production-grade systems. The company promotes high ownership and offers a remote-first working environment.

Senior Full-Stack Architect - Remote-First Platform Lead in Leeds employer: The Flex

The Flex is an exceptional employer that champions a remote-first culture, allowing you to work flexibly while contributing to innovative projects in a dynamic team. With a strong emphasis on employee ownership and professional growth, you'll have the opportunity to lead the technical direction of our platform in a supportive environment that values your expertise and creativity. Join us in Leeds and be part of a forward-thinking company that is redefining global living.

The Flex

Contact Details:

The Flex Recruitment Team

We think you need these skills to ace Senior Full-Stack Architect - Remote-First Platform Lead in Leeds

FastAPI
React
AWS
Web Application Development
API Development
Cloud Infrastructure
Scalable Systems Design