Senior Python Engineer (Full Stack)

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Health coverage

Retirement savings

Referral bonus

Office meals & snacks

Cycle-to-work

Job summary

Lendable is seeking a full-stack Python engineer to join the Central Operations team. You will build and ship internal web applications and AI-powered automations that support our Ops teams, enabling scalable customer outcomes and streamlined processes across Cards, Loans and Motor products.

You’ll work with Product, Data Science and Analytics to deploy solutions that improve efficiency and data-driven decisions, while growing technical direction and ownership from day one.

Qualifications

• Strong experience building web applications with Python.
• Experience with FastAPI, Django or Flask.
• Proficient in React and Next.js.
• Interest in Generative AI and LLMs.
• Product-focused mindset and collaborative teamwork.

Responsibilities

• Ship features used daily by Operations teams.
• Build internal web apps and automations.
• Collaborate with Product, Data Science and Analytics.
• Design and implement AI-powered workflows.

Skills

Python

Web frameworks

Product-focused

Team collaboration

Generative AI interest

Tools

FastAPI

Django

React

Next.js

AWS

Docker

Kubernetes

Terraform

Tailwind CSS

Copilot

Job description

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

• One of the UK’s newest unicorns with a team of just over 700 people
• Among the fastest-growing tech companies in the UK
• Profitable since 2017
• Backed by top investors including Balderton Capital and Goldman Sachs
• Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of the company from day 1

• Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
• Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

We’re looking for a full-stack Python engineer to join our Central Operations team.

Central Ops sits across our core products (Cards, Loans and Motor), focusing on shared operational challenges and opportunities. We build a mix of internally facing web applications and robust automations to help our Operations teams deliver great outcomes for customers, efficiently and at scale.

It’s a broad space: Operations makes up roughly half of our employee headcount and covers everything from day-to-day customer support up to complex areas like Fraud and Fincrime prevention. As our customer base grows rapidly, our role is to help ops keep pace without relying solely on headcount growth. We make intelligent, pragmatic use of AI where it adds real value, working closely with Product, Data Science and Analytics to deploy solutions that genuinely support our ops agents.

You’ll have real ownership from an engineering perspective, shipping features that are used daily by Ops teams. It’s an evolving space at the company, and what you build will help shape both our tools and our technical direction.

Some examples of things we’ve built recently:

• Rebuilt our Ops QA admin system from the ground up, replacing an off-the-shelf tool with something tailored to our needs
• Deployed a pipeline to summarise customer calls into concise notes using LLMs, automatically surfaced in ops admin panels - removing the need for manual note-writing
• More than doubled the number of complaints processed by agents through a combination of targeted AI automation and improved UX

What we’re looking for

We’d consider the following essential to the role:

• Solid experience with Python in a web application context. You have some experience with web frameworks like FastAPI, Django or Flask. We use FastAPI.
• Experience with Javascript/Typescript and a modern JS framework such as React, Angular or Vue.js. We generally use React & NextJS
• Strong engineering principles & practices: design patterns, testing, clean code and a good reviewer
• Previous experience working in a product-focused team
• A keen desire to want to learn and input into a highly collaborative team
• A desire to learn about and experiment with Generative AI and LLMs. Actual experience is a plus

The following are also a plus, but by no means essential.

• You use AI tools like Copilot, Cursor, Claude or others in your day-to-day coding
• 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
• Skill with CSS and exposure to Tailwind

Interview process

• A 30 minute introductory call
• Take Home Task
• Technical Interview
• Cultural/behavioural interview

Life at the company

Winning team: the opportunity to scale up one of the world’s most successful fintech companies

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
• Health coverage: support for your physical and mental wellbeing, including private health cover
• Retirement & savings: long-term financial wellbeing through retirement savings plans
• Employee referral programme: earn a competitive bonus when you refer successful new team members
• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
• Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Check out our blog!