Adapt Ventures

Founding Backend Engineer - Fintech / BNPL to $7000

Founding Backend Engineer - Build the Klarna for Rent (BNPL)

 

The Opportunity

Join the founding engineering team building the Klarna/Twisto for home rentals across MENA. We're solving a massive problem: millions of tenants pay 12 months rent upfront. We're making monthly payments possible, starting in the UAE. The market is just opening up - perfect timing to build something massive.

 

The Founders

Built by proven entrepreneurs: YC alum with successful exit who built payment infrastructure for Fortune 500s, partnered with founder of a VC firm that's produced multiple unicorns globally. Together, we bring deep expertise in building, scaling, and funding billion-dollar fintech companies.

 

The Role

We need a brilliant backend engineer to build our core risk engine and payment infrastructure from the ground up. You'll work directly with our Head of Risk (ex-unicorn BNPL company) to turn risk policies into production systems.

 

You'll Own:

  • Building our bank statement parsing engine (PDF processing, transaction categorization, income verification)
  • Implementing real-time risk decisioning that approves/rejects applications in seconds
  • Creating payment integrations with UAE's leading payment providers
  • Designing APIs for high-performance tenant application processing
  • Building the data pipeline that turns financial data into instant credit decisions

     

Technical Challenges:

  • Parse bank statements from 20+ UAE banks in real-time
  • Process lending decisions in <10 seconds
  • Build for 100,000+ monthly transactions from day one
  • Create a system that scales across multiple countries and currencies
  • Design infrastructure that handles sensitive financial data securely

     

What We're Looking For

Must-Haves:

  • Minimum 5-6 years building fintech/lending/banking backends (more experience is awesome!)
  • Strong Python experience with production systems at scale
  • Experience with bank statement parsing or open banking APIs (TrueLayer, Tink, Salt Edge, Nordigen, Kontomatik)
  • Built high-throughput transaction processing systems
  • Experience with PostgreSQL and data pipeline architecture
  • Understanding of financial systems and risk decisioning

     

Huge Plus:

  • Worked at companies like Revolut, Wise, Monobank, Twisto, or any BNPL/lending fintech
  • Experience with European open banking platforms (Salt Edge, Nordigen/GoCardless, Tink)
  • Built consumer lending products that scaled to 100k+ users
  • Experience with FastAPI, Django, or Flask for API development
  • Knowledge of Node.js for specific microservices
  • Experience with Middle Eastern payment systems
  • Former founding engineer who's seen 0โ†’1 journey

     

What You Get

  • Own the core product - your code will process millions in rent payments monthly
  • Founding engineer equity - real ownership in a rocket ship, not 0.01% options
  • Direct line to founders - your ideas ship to production in days, not months
  • Build your own empire - hire and lead the entire backend team as we scale
  • Work with the best - Head of Risk from unicorn BNPL, YC founders, VC who's built unicorns
  • Massive market impact - help millions of families stop paying $50k upfront for housing
  • Shape the technical culture - define how we build, not follow someone else's playbook

     

Tech Stack

You'll help define it, but we're thinking:

  • Python for core services (risk engine, bank parsing, data pipeline)
  • PostgreSQL for transactions, Redis for caching
  • AWS/GCP for infrastructure
  • FastAPI or Django for REST APIs
  • Docker, Kubernetes, modern CI/CD practices

     

Interview Process

Fast and transparent (total time: 1 week max)

  1. 30-min chat with founders (background + culture fit)
  2. Technical discussion with Head of Risk (system design)
  3. Paid technical project (real problem we're solving)
  4. Final decision within 48 hours
Python, Node.js, PostgreSQL/MongoDB, AWS/GCP, Bank API integration, PDF parsing, Risk systems, High-throughput systems
Published 26 August
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