Technical Stack

Continuously investing in quality (functional programming, code quality, tests, pull request reviews, refactoring…) is part of our strategy to sustainably maximize the business value we deliver.

Here's where we are now:


  • Our webapp frontend projects are written in Vuejs, Sass and Pug. We make use of modern JavaScript
  • We maintain a UI Library that is used in all of our frontend projects.
  • We rely heavily on functional JavaScript patterns.


We sit somewhere in the middle of the “Scala as a worse Haskell” and “Scala as a better Java” spectrum. We love functional programming and we do make use of libraries like cats, cats-effect, http4s, doobie, but keep a pragmatic stance on purity and are also exposed to the AWS Java SDK/hadoop/spark ecosystems.

Here are some highlights of the major backend components:

  • open-api: an http4s API running on Fargate to submit (buy, sell) orders to the marketplace
  • ingestion: spark jobs that ingest supplier data and store it in the data lake and puddles (Apache Iceberg).
  • transaction: spark jobs that transact the data between the buyers and sellers
  • delivery: spark jobs triggered by AWS Step Functions that deliver the transacted data to a format suitable for the buyers' consumption


  • We are operating in Amazon Web Services. Our long-running services are deployed on EC2, Fargate, and Lambda and provisioned with Terraform.
  • We handle massive amounts of data: the miscellaneous S3 buckets we own contain in excess of 300TB of data.
  • Our scheduled (spark) jobs are mostly executing on EMR and triggered by Jenkins Jobs.
  • We also heavily use other AWS technologies such as DynamoDB, S3, RDS, Step Functions and EMR.
  • Other services we use include: GitHub, Gitlab, Jenkins, DataDog, Crucible.
  • Being a small team, we think twice before rolling out custom infra that we need to monitor and maintain.

Workstation Setup Guide

It is also worth taking a look at our Dev Workstation Setup Guide which
gives more information on the tools that we work with.

Edit this page on GitHub Updated at Tue, Jun 14, 2022