Interested in Working at Popsa? These Are the Tools We’re Using in 2023

Check out Popsa's tech stack and tooling for engineering, data science, 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


Frontend Web

Language, Framework and Tools

3rd Party Services

Backend

Languages

  • Go

AWS Technologies

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

3rd Party Tools


Product Design

Tools


Data Science

Languages

  • Python
  • SQL

Technologies

  • Flask
  • Jupyter
  • Matplotlib
  • Numpy
  • Pandas
  • Scikit-learn
  • Scipy
  • Tensorflow 2 + tf.keras
  • XGBoost

AWS Services

 Infrastructure


Android

 Languages

  • Kotlin
  • Java (legacy only)

Google Technologies

  • Google Vision
  • Jetpack Compose
  • MLKit
  • Architecture components (LiveData, ViewModel)
  • Firebase: Messaging, A|B Testing, ML
  • Google Pay
  • Material Design
  • Testing Frameworks: JUnit, MockK, Mockito / DaggerMock
  • WorkManager

3rd Party Tools / Dependencies


iOS

 Languages & Architecture

  • Swift
  • MVVM + Coordinators

Apple Technologies

  • Accelerate
  • Apple Pay
  • AVKit
  • Combine
  • Compositional Layouts
  • CoreAnimation
  • CoreData
  • CoreGraphics
  • CoreImage
  • CoreML
  • Diffable DataSource
  • Grand Central Dispatch
  • Metal
  • Operations
  • PassKit
  • Photos
  • Swift Package Manager
  • UIKit
  • UserNotifications
  • Vision
  • XCTest
  • Xcode Cloud

 3rd Party Tools / Dependencies


DevOps