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Lendable

Python Engineer

Lendable is hiring a Python Engineer for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Lendable.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions Python, FastAPI and Docker among its tools and skills.
  • Lendable has 77 other open roles on Level.
  • Posted in the last few days.

AI in this role

Python engineer role building fintech infrastructure and APIs, with indirect context of leveraging data science and ML platforms.

PythonFastAPIDockerKubernetesAWSArgocd
backend-engineeringapi-designinfrastructuremachine-learning

About Lendable

Lendable 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 most exciting unicorns with a team of over 800 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

  1. Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  2. Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

  3. Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

About the role

We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible.

In this role, you'll get to do it all: designing and integrating powerful new APIs that genuinely improve our customers' experience, optimising our lending platforms for performance and scale, and diving into the kind of deep architectural conversations that engineers get excited about.

No two days look the same here.

We're building something great, and we're looking for the right people to grow with us. If that sounds like you, we can't wait to hear from you.

Our Tech Stack

Our stack is built on Python and FastAPI, deployed via Docker and Kubernetes on AWS, with ArgoCD handling our continuous delivery pipeline.

What we’re looking for

  • Strong, modern Python development experience

  • A good understanding of a modern web framework - FastAPI

  • Strong automatic testing skills (unit, integration, functional)

  • A keen desire to want to learn and input into a highly collaborative team

  • If you’ve worked in a cross functional environment, it would be a plus but not needed

Interview process

  • A quick phone call with one of the team

  • A short coding exercise to complete in your own time

  • Technical Video Interview for 60 mins

    • Meet the team you’ll work with daily

  • Culture interview for 30mins

  • Final Interview

Life at Lendable

  • 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!

How we rate this

Python Engineer at Lendable rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Backend EngineeringAPI DesignInfrastructureMachine learningPythonFastAPIDockerKubernetes

Questions you could be asked

  1. Tell me about a project where backend engineering was part of your work. What did you do?
  2. Tell me about a project where api design was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Backend Engineering, API Design, Infrastructure, Machine learning, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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