Find Full-Stack Developer Jobs

Ruby on Rails, AngularJS, Python, SQL, Postgres, Docker, AWS

Node.js, React.js, Redis / Mongo, AWS, Kubernetes / Terraform / Docker

Backend: Node.js, Express, MongoDB/Mongoose, Testing (Jest, Supertest, Nock), Cloudflare. Frontend: Angular 1, React. Hosting/Infrastructure: Heroku, MongoDB Atlas, GitHub, Codeclimate, CircleCI.

We believe in choosing technologies pragmatically, balancing tradeoffs between widespread support, power, and accessibility. Our primary language is Python, augmented with C/C++, PyTorch, and other extensions. We use code tools like Bazel, mypy, and automatic formatters to reduce the cognitive overhead of our work, and ops tools like Docker and Salt to automate operational burdens. Our code runs in a variety of environments, including AWS, Google Cloud, professionally-hosted private clouds, and most importantly, on our own servers at customer sites. We collaborate and document our work with Slack, GitHub, Jira, and Confluence.

React, React Native, Node.js, Elasticsearch, Redis, Heroku, AWS

Web - Node, React, Python, PostgreSQL.

Mobile - React Native, Swift (iOS) / Java (Android).

Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).

Full stack Javascript, Typescript, Node, React, Redux, Apollo, GraphQL, Redis, MongoDB, Elasticsearch, AWS (Codepipeline, ECR, ECS, Fargate) and serverless (Lambda, SQS, SNS).

AWS, Python, GoLang, Cloud9, GitHub, ELK, Cloudera

We use Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app. Direct experience with these technologies is not required.

Web stack: Django, GraphQL, React, Postgres. Data pipeline: Spark, Kafka, Elastic Search, Scala. Infra: AWS.

Rails, MongoDB, Knockout, Go, AWS

Javascript (React/Redux), Ruby on Rails, Scala, Postgres, LittleTable

AWS (ECS, ECR, EC2, S3, Cloudwatch…), Docker, Ruby (Sinatra), Python, Postgresql, Mysql, Swift, Kotlin, Sentry, Jenkins, React.js

Python, Flask, PostgreSQL, Redis, Heroku, AWS, GraphQL, React Native

Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly-React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. We also periodically evaluate adding other languages into our codebase for ecosystem or performance reasons. Mobile apps are currently written in the standard platform language, mixed with JavaScript in webviews where appropriate. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for data collection, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Our engineering team builds software using JavaScript/ES6, React, Redux, Swift, and Objective-C on the frontend and Python, bash, and Bitcoin Core on the backend.

Python, Django, Postgres, Objective-C, Swift, PyTorch

React

Ruby on Rails

Java

AWS

GitHub is a Rails 4 application that is composed of a large monolith and a constellation of services written in Ruby, Go, and a handful of other languages. The app and its services are exposed both internally and externally via a GraphQL API. We primarily rely on MySQL for persistent storage, Redis for temporary storage, and, as you might expect, a lot of git repositories. We rely on Kubernetes for container orchestration.

TypeScript, JavaScript, and React

Scala (high performance backend)

Python (infrastructure management and data analysis)

Android and iOS

Luna1 (legacy in-house functional reactive framework, similar to Meteor)

mindmatters develops software for a variety of customers. Depending on the project specifics we choose mostly Java/Spring Boot, Ruby on Rails, JavaScript, React, Angular 2+, Swift, Objective-C, Android

We’re primarily a Python shop, using Django for our websites. We also have a few services written in Go and have started to build out our front ends using React. We use Github to host our code, Jenkins (for now) to automate our tests, and right now most of our applications and code live in VMs in a Colo just outside of Toronto. We’re in the process of transitioning to AWS. Other common technologies we use are Postgres (primary DBs), Redis (cache and key/value store), RabbitMQ (messaging broker) and Celery (task queue).

Our stack consists of Koa.js, MongoDB, and Angular – because they were the hottest things a few years ago. Now we’re playing with React, React Native, Flow.js, and Postgres – because Postgres is cool again :)

Tech stack varies from team to team: PHP, React, Java, Node, Scala, Objective-C, Go, etc.