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Google Cloud Platform, Linux, Golang, Python, Docker, Kubernetes, Helm, and Terraform

Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

Go, Kotlin, Python, Typescript

Qualified is a modern web app with a React UI interfacing over GraphQL, REST, and WebSockets with a Ruby on Rails backend. The data and messaging layers are built on PostgreSQL, Redis, and ClickHouse.

Blog post on our tech stack

Lever uses our own open source real-time framework called Derby that syncs all data via Operational Transformation. 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 Datadog 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.

Ruby on Rails, Java, Elixir, React.js, GraphQL, Node.js, AWS, Redis, Spark & Scala, (Data team)

We have a service oriented stack deployed on AWS using containers. Most of our backend services are written in Go, with the exception of an NLP/ML service written in Python. Services talk to each other using gRPC.

Our web application is served statically from Cloudfront/S3 and is written using React. It is a Progressive Web App, with a service worker to speed up delivery.

We integrate with third party software such as Google Drive, Calendar, Jira, GitHub, Asana, Slack. These areas are some of the most complex parts of our systems. They’re also some of the most important: integrations enable the “magic” of a user coming to Range in the morning and seeing all of their work from the previous day already gathered in one place.

Node.js / Typescript, Python, React, Postgres, GraphQL with Hasura, BigQuery (columnar), PyTorch, Pandas, Jupyter, Spark, PySpark, Keras + Tensorflow, XGBoost, LightGBM, Kubernetes, Docker, GCP

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

Python, Flask, Javascript, React, HTML/CSS, Sass, React Native, Expo, GraphQL, Postgres, Redis, Heroku, AWS

We’re tech agnostic and firmly believe that focusing exclusively on one technology is both a business risk and impediment to growth. No two clients or projects are the same, and no one technology can solve all problems effectively. Learning multiple frameworks and languages makes us more well-rounded engineers, and gives us a broader knowledge base to draw from when architecting solutions.

Some of the technologies we’ve worked with include:

- Frameworks such as React, Vue, React Native, Node.js, and Timber

- Content management systems like WordPress, Craft, and Contentful

Python, Flask, React, React Native, AWS, Postgres, Redis, Docker, Terraform, PyTorch

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.