Back End Engineer at Thought Machine
Summary
Builds and maintains scalable microservices in Python or Go for Vault, a cloud-native core banking platform used by global banks like Lloyds and Standard Chartered.
Job Title
Back End Engineer
Salary
Not Disclosed
Company Description
Thought Machine is a London-based fintech that has raised over £500m to modernize global banking infrastructure with its cloud-native core platform, Vault. Backed by JPMorgan Chase, Temasek, and Molten Ventures, they are ridding the world's largest financial institutions of legacy technology through high-performance engineering and scalable cloud technology.
Job Description
Join the Vault team to design and build performant microservices that power global banks like Lloyds and Standard Chartered. You will work in a fast-paced monorepo environment, delivering production-ready Python and Go code. This role combines deep backend engineering with client-facing scoping to translate complex requirements into scalable, cloud-native financial solutions.
Location
London, UK
Why this role is remarkable
- Work on Vault, a world-class cloud-native core banking platform powering institutions like JPMorgan Chase and Standard Chartered.
- Join a highly successful fintech that has raised £500m+ and is recognized by the Financial Times as a UK Best Employer for 2026.
- Engage in a high-caliber engineering culture using a monorepo with continuous deployment, focusing on technical excellence and production-ready code.
What You Will Do
- Design, implement, and develop scalable microservices using Python or Golang within a sophisticated cloud-native architecture.
- Manage and debug complex deployments from testing environments through to production, ensuring system performance and reliability.
- Interface directly with clients to scope deliverables, translate requirements into trackable tickets, and ensure feature coherence across engineering teams.
The ideal candidate
- Possesses 3-7 years of backend engineering experience with a strong proficiency in either Python or Golang for production services.
- Has a proven track record of developing automated unit and integration tests as an integral part of the development lifecycle.
- Demonstrates experience with cloud providers like AWS, orchestration tools such as Kubernetes, and designing scalable microservice or client/server architectures.