Find Front-End Developer Jobs

Frontend: React, Relay, Flow, Jest, Enzyme.

Mobile: React Native, Apollo.

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec.

CI: GitHub, Buildkite.

Infrastructure: AWS, Python.

Python, AWS, Spark, ElasticSearch, Docker, Airflow, Kubernetes

On the frontend, we use TypeScript, React, Redux, GraphQL, Apollo. On the backend, we use Node.js, Go, TypeScript, MySQL, Elasticsearch, Redis. Everything is containerized in Docker and running on Kubernetes.

On the web, we’re a Ruby on Rails shop with a React.js front-end. Other items in our stack are Sass, Webpacker, Postgres, Mongo, Kafka, S3, AWS Lambda, Terraform, and Docker.

On Mobile, our apps are primarily built with React Native alongside some custom native libraries in Java, Objective-C, Swift, and C++ for core functionalities. We use Apollo and GraphQL, alongside Redux for local state management.

Go 1.3, Rails 5.1, Ruby 2.6, Java 8, PostgreSQL 9.4, TypeScript 3.5, Angular 8, AWS

We use whatever tools are appropriate to accomplish the task at hand. The backend stack currently consists of Node.js, Express, GraphQL, PostgreSQL, Docker and Lambda in AWS. We also have a strong bias towards a micro-service architecture. The frontend stack currently consists of React Native, TypeScript, Expo, Apollo client (GraphQL), and Jest testing framework. We have a mobile app with cross platform support.

Backend: Node + Express, Typescript, Go Microservices. Frontend: Next.js, React + Hooks, Storybook. Infrastructure: Heroku + AWS, CircleCI, DataDog.

AWS rds + mysql for data storage API is in python + flask apache thrift for interface definition android app is in java ios apps in swift 3 front-end web is in python, flask, node, and react

Dark’s backend is written in a combination of OCaml, Rust, and Dark (that’s right, Dark is partially built in Dark!). We use Kubernetes and Postgres, running on top of Google Cloud.

Our frontend is also in OCaml – we don’t expect you to know OCaml before you join, and you typically learn it in the first few weeks. We compile the OCaml to JS using Bucklescript/ReasonML, and use a framework similar to Redux or Elm for managing state.

We use React and React Native for our frontends and Node.js for our backend, which is built around the microservices paradigm. Some services have been migrated to serverless logic, in order to have more concurrent users on Aula simultaneously.

In order to support this architecture, we use Docker and everything is deployed and managed on our AWS infrastructure which is defined by Terraform code. More details here!

Backend: Ruby on Rails, Postgres, Elasticsearch, Google Cloud Platform, Kubernetes.

Frontend: Typescript, React, Redux.

Data: BigQuery, BigTable, DataFlow, DataProc.

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.

Frontend: express, react, redux, bootstrap

Middleware: express

Backend: everything but dominantly GoLang running on AWS

Backend: Node.js, Express, MongoDB/Mongoose, Testing (Mocha, Jest, Supertest, Nock), and Nginx (Caching server, SSL certificate generation service)

Frontend: Angular 1, React

Hosting/Infrastructure: Heroku, AWS, MongoDB Atlas, GitHub, Codeclimate, CircleCI

Across our product portfolio we leverage a variety of languages, frameworks and tooling. Much of our code is written in C#/.NET Core 2.x along with a handful of other languages such as Java, C++, PHP and Node.js. For frontend, Angular 7+ on the newer products, and a few mature products leveraging Javascript and JQuery. Many databases to store our 300TB+ of production data including MySQL, SQL Server, Snowflake, MongoDB & DynamoDB. We have some monolithic applications though new products & platforms are built using microservices running Docker containers on AWS ECS with some footprint in Azure. We leverage many AWS services – Lambda, CloudWatch, S3, EC2, Route53, EMR, IAM, SQS, SNS and more. We also use Terraform for configuring infrastructure, Jenkins for CI, and Git/GitLab for source code. These are flexible (they can and will change) and what a candidate knows for stack is not as important as their ability to think creatively – we can train languages, it’s much harder to train curiosity and intellectual drive.

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.

The bulk of our infrastructure is dedicated to distributed processing for machine learning, powered by Apache Hadoop: Hive, Presto, and Spark. Our web app uses React on the frontend and Ruby on Rails on the backend. We’re hosted on AWS.

Backend: Ruby on Rails, Frontend: ReactJS

Golang, React, Redux, MongoDB, ElasticSearch, Redis, Kinesis, NATS, TimescaleDB, Lambda, Node.js, Postgres, Typescript

JavaScript, Node.js, AWS Lambda, PHP, Java, MySQL

Back: Node, Golang

SRE: Terraform, Kubernetes, Rancher, AWS, MongoDB, Postgres, RabbitMq, ElasticSearch, Docker

Front: React-like frameworks, Webpack, Javascript, AngularJS (only until we kill the old product)

Some of the technologies we use to build Thread include: Python, Django, ReactJS, PostgreSQL, Redis, Debian, Docker, Memcache, nginx, Ansible, Jenkins, Gunicorn, Luigi, Pandas, scikit-learn, git.

Frontend is React Native for mobile, and we’re experimenting with React Native Web on the web side.

Backend is currently Java deployed using Kubernetes, but we have a polyglot approach to problem solving, and we will likely end up with a backend that reflects that.

Ruby on Rails, JavaScript (ES6), HTML+CSS, Sketch App, InVision, Pencil and Paper

Python (Flask)

ReactJS / Redux

MongoDB

Frontend: Javascript, React, Typescript, Flow, Mobx, Stylus, Redux, Reactive JS, Styled Components, Focal (our own in-house, open-sourced state management framework)

Mobile (iOS and Android): Java, OkHttp, Butterknife, Retrofit, XCode, Swift, ReactiveCocoa, ReactiveSwift, Kickstarter-Prelude, Argo, Runes, Curry

Desktop app: CoffeeScript, Electron.js, C#, F#, ReactiveUI

Internal tools: Angular, Elm, ClojureScript

Backend: Java, Scala, Python, Haskell, Lisp, Clojure, Go, C++

NLP/Research teams: sklearn, TensorFlow, PyTorch, CNN, RNN, Keras, Seq2Seq, xgboost, CRFs, nltk/spacy/OpenNLP, OpenNMT, Jupyter notebooks

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)

Frontend: React/Redux. Legacy JSP (although increasingly less!)

Monolith backend: Java on Tomcat.

Microservices backend: Java on Spring.

API: Java w/ Swagger.

TechOps: Hashicorp stack + Docker on EC2/AWS. Cloudflare, EBS, Redis. Git/GitHub for Source Control. Jenkins for CI. Ruby/Cucumber for testing.

Databases: MySQL

Search: SOLR

Data: Python (pandas, AirFlow, etc.). Redshift/Postgres.

OnForce Platform (subsidiary): PHP on baremetal LAMP (deprecating, moving to AWS).

PHP, Java HTML5 / CSS3, Angular, ExtJS, PostgreSQL, Docker

Our main app is a Ruby on Rails API, with a Postgres and PostGIS database and a front-end built using React.js. It’s hosted in Heroku. We also have a variety of services built in Python that are hosted on AWS.

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).