Find Node.js Developer Jobs

Node.js, Postgres, AWS, Terraform, Ansible, React

Across our product portfolio we leverage a variety of languages, frameworks and tooling. Much of code is written in C#/.NET Core 2.x along with handful of other languages such as C++, PHP, Node.js and Java. For frontend, Angular 6+ on the newer products, and a few mature products leveraging Javascript and JQuery. Many databases to store our 200TB+ of production data including MySQL, SQL Server, MongoDB, DynamoDB & RDS. 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, 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.

Node.js, Golang, gRPC, MongoDB, Leveldb, LND (Lightning Network implementation), Bitcoind/Litecoind, Docker / Docker Compose

Swift, Node.js, React, Vapor, Heroku, Cloudkit, Postgres

JavaScript

Node.js

AWS Lambda

PHP

Java

MySQL

Node.js, TypeScript, React, GraphQL, Docker, Terraform, Go, AWS

Blog Post on our Tech Stack

Lever uses our own open source MVC framework called Derby that syncs all data via Operational Transformation (the algorithm behind Google Docs). OT is the way we handle concurrency conflicts for any piece of data that is edited at the same time. In addition to real-time sync, OT allows us to provide a smoother UI since we can render updates on the client instantly without waiting for our backend to respond, while still guaranteeing consistency.

Lever makes extensive use of AWS, Docker, Node, Mongo, ElasticSearch, and Redis within our infrastructure. We use tools like Hubot to streamline deployments and Grafana to see what’s going on under the hood. In addition to automating all the things, we love to version them too! Our systems are all created using Terraform and Chef, working together to ensure consistency at all costs.

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)

PHP, Laravel, Vue.js, MySQL, MongoDB, Redis, node.js, Gulp, Sass, Jenkins

We use Apache Spark, AWS EMR, AWS Data Pipeline, AWS Lambda, AWS CloudFormation, Google Firebase, GCP cloud functions on the infrastructure side. On the language side, we use Scala for machine learning, Golang, Python and Node for data pipelines, and React and Javascript for frontend.

We have a modern stack built on per-customer, structured data lakes augmented with declarative schemas that describe what the data represents and how to transform it into features useful for machine learning.

Node.js

React.js

Redis / Mongo

AWS

Kubernates / Terraform / Docker

Node.js, Go, Scala, AWS, React, GraphQL, iOS (Objective-C & Swift), Android (Java)

The majority of our work is in Rails, Node, and Java, but almost everything is up for grabs. The only tech we don’t work in is .NET and PHP.

Some popular languages and frameworks we use are: (Web) JavaScript, Python, Go, Java, PHP, Ruby | Node.js, Express, Spring, ReactJS, Redux, Typescript, Rails. (Android) Kotlin, Java | RxJava, React Native. (iOS) Swift, Objective-C | RxSwift, React Native

Web - Node, React, Python, PostgreSQL

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

Ruby 2.3, Rails 4.2+, Rspec React, Jest ES6+, Babel NodeJS 8.1 GraphQL PostgreSQL, MySQL Redis AWS Periscope

Single source multi-tenant AWS SaaS offering

Leveraging many AWS services (Lambda, Kinesis, Redshift, etc.)

Backend - Clojure / Java / Node.JS / Python

Frontend - Angular

DB - Couchbase / Postgres / Redshift

Our backend is a mix of an inherited .NET monolith and Node.js microservices we’re carving out of the .NET stack. Our front-end websites are written in React and Redux, and our native clients are written in React Native.

Languages/Frameworks: Angular, Node, Serverless Lambda, Rails, Coldfusion

Databases: MSSQL, Aurora

Cloud Providers: AWS

React, Redux, Node, Java, Postgres, AWS

LAMP / LEMP, Laravel / Zend, Node.js, AWS, Redis / Memcache, Ubuntu / CentOS, MySQL / Mongo, VanillaJS, VueJS, HTML5 / CSS3, Angular / Backbone / Ember / Ionic

JavaScript/CoffeeScript, Python, Node.js, React + React Native, AWS Lambda, Spark, Kinesis, MongoDB, Redshift

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

Our tech stack is very future-forward and designed to enable Google Docs-like realtime collaboration. From back-to-front: rethinkdb, redis, NodeJS, GraphQL, Relay Modern, React using ES2015+

MongoDB, Solr, Node, ES6, Ember, Python

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

C++, Go, RoR, JavaScript, PHP, Swift, Java (Android), Javascript (ReactJS, VueJS), NodeJS