Backend Engineer - FinTech AI Platform

London Source: WhatJobs

£90,000–£100,000

Backend Engineer - Rapid -growth FinTech AI Platform -London, Hybrid or UK/European Remote Working -up to £100k + equity

We have an incredible opportunity for skilled, passionate and experienced Backend Engineers, with production experience with languages such as Node.js, Express, Python; familiarity with AWS (e.g. ECS/EKS, Lambda, SQS, EventBridge, RDS/DynamoDB, S3) and experience designing RESTful and event-driven APIs, to join a fantastic FinTech AI platform on a hybrid working basis as soon as possible.

The Opportunity:

This is the perfect opportunity to join a successful FinTech, in a crucial role that is critical to the product’s success and the company’s future.

TheBackend Engineer will need to have a passion for performance, a growth mindset and the drive to continuously learn, develop and improve. Our client encourages a learning culture and they embrace cutting-edge technology which will allow you to hone relevant, in-demand skills.

They are a rapidly scaling company, so this is a prime opportunity to get your foot in the door and join a dynamic, high-performance team on an exciting trajectory!

Our client is offering an annual salary up to £100k, dependent on experience and skillset, plus equity.

This is a London, Hybrid or UK/European Remote Working role.

What we’re looking for:

Graduate with a relevant degree in Computer Science / Engineering or similar, with c1+ years’ relevant work experience, ideally within FinTech, TMS or SaaS (including internships)
Proven production experience building and operating backend services (e.g. Node.js/Express, Python), with a technology-agnostic mindset and the ability to adapt to evolving stacks
Familiarity with AWS (i.e. ECS/EKS, Lambda, SQS, EventBridge, RDS/DynamoDB, S3)
Experience designing RESTful and event-driven APIs
Relational data modelling skills (financial or transactional systems advantageous)
Experience with concurrency, locking, idempotency and distributed consistency
Experience with message queues, background workers and workflow orchestration
Experience integrating AI/ML or decisioning services into backend platforms
Comfortable building systems that consume AI outputs and execute deterministic actions
Ability to design safety, audit and rollback mechanisms around automated execution
Understanding of the role context plays in designing a modern AI-native system
Hands-on experience deploying and operating Node.js services on AWS
Experience with CI/CD, infrastructure-as-code and containerised workloads
Drive to improve as an Engineer - eager to work with peers who push and support each other to continuously improve
Strong communication skills and the ability to liaise at all levels
Collaborative nature - ability to work independently and as part of a team
Ability and desire to work in a fast-paced, rapid-growth environment
Highly ambitious, driven and focused