Interested in Working at Popsa? These Are the Tools We’re Using in 2022

Check out Popsa's tech stack and tooling for engineering, devops and product design.

Here's an overview of our technology stack and links to some case-studies, for example "how we optimised our API to reduce network overhead by 70% using Protocol Buffers".

Stacks


Backend

Languages

  • Go

AWS Technologies

  • EKS
  • DynamoDB
  • S3
  • Lambda
  • Batch
  • Step Functions
  • SQS
  • (And many more...)

3rd Party Tools


Product Design

Tools


Data Science

Languages

  • Python
  • SQL

Technologies

  • Pandas
  • Scikit-learn
  • Numpy
  • Scipy
  • XGBoost
  • Tensorflow 2 + tf.keras
  • Flask
  • Jupyter
  • Matplotlib
  • Magicbox (our own toolset of useful functions)

AWS Services

 Infrastructure


Android

 Languages

  • Kotlin
  • Java (legacy only)

Google Technologies

  • Google Pay
  • Architecture components (LiveData, ViewModel)
  • WorkManager
  • Material Design
  • Mockito / DaggerMock / Unit test
  • Firebase Messaging
  • Google Vision

3rd Party Tools / Dependencies


iOS

 Languages

  • Swift

Apple Technologies

  • CoreData
  • Photos
  • Vision
  • CoreML
  • CoreAnimation
  • Grand Central Dispatch
  • Operations
  • PassKit
  • Apple Pay
  • AVKit
  • CoreGraphics
  • Metal
  • CoreImage
  • UIKit
  • UserNotifications
  • XCTest

 3rd Party Tools / Dependencies


DevOps