Description
Job Overview
We're looking for a full-stack Python engineer to join our Central Operations team at Lendable, a leading fintech company. You'll have real ownership from an engineering perspective, shipping features that are used daily by Ops teams.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're one of the UK's most exciting unicorns, among the fastest-growing tech companies in the UK, and profitable since 2017.
Responsibilities
- You will take ownership and make decisions that drive a material impact on the direction and success of Lendable from day 1
- You will work in small teams of exceptional people, challenging the status quo to solve problems and find smarter solutions
- You will build the best technology in-house, using new data sources, machine learning, and AI to make machines do the heavy lifting
Requirements
- 8+ years of professional experience as a software engineer
- Solid experience with Python in a web application context, with web frameworks like FastAPI, Django, or Flask
- Experience with Javascript/Typescript and a modern JS framework such as React, Angular, or Vue.js
- Strong engineering principles and practices, including design patterns, testing, clean code, and a good reviewer
- Previous experience working in a product-focused team
- A keen desire to learn and input into a highly collaborative team
- You use AI tools like Copilot, Cursor, Claude, or others in your day-to-day coding
Nice to Have
- Exposure to Domain Driven Design, Message-Driven Systems, and Event Sourcing
- Experience with cloud infrastructure, particularly AWS
- SQL, and finding your way around data schemas
- Shipping containerised software with Argo, Kubernetes, Docker, and Terraform
Benefits
- Flexible working, with a hybrid approach requiring three days in-office weekly
- Opportunities for socialising and getting to know colleagues beyond the office walls
- Health coverage, including private health cover
- Retirement and savings plans
- Employee referral programme
- Office meals and snacks
- Sustainable commuting schemes
Interview Process
- A 30-minute introductory call
- Take-home task
- Technical interview
- Cultural/behavioural interview
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