Full Stack Developer Rapidor
- Rapidor
- Remote
- Full Time
Industry Type - IT - Software
Category: Full Stack
Experience: 4 - 8 years required
Pay:
Salary Information not included
Type: Full Time
Location: Pan India
Skills: Java, Python, Scala
About Rapidor
Rapidor is the story of how your company will reduce expenses, increase team efficiency, gain control over critical business processes, and ultimately increase profitability. A robust B2B application that facilitates the creation and management of orders, the creation of crisp product catalogues, the management of inventory and payment processes, and the empowerment of the dealer-manufacturer relationship. The following list of features: Inventory Control & Management - Mobile Order Management - Product & Catalogues - Sales Force Tracking - Business Dashboards & Analytics - Setting & Monitoring Sales Targets - Manufacturer - Distributor - Dealer Connect With rapidor, you assume control and turbocharge your business.
Job Description
Requirements in more detail:
? Extensive experience with Java/Scala/Kotlin/Python and JavaScript.
? Experience writing Unit and E2E tests and Test Driven Development
understanding
? DevOps mindset and experience with full SDLC including troubleshooting in
Dev/Staging/Live environments.
? Experience developing an e-commerce platform (B2B/B2C) is a plus.
? Most important: You should have a great positive attitude towards the team
and be willing to get the job done in the best capacity of yourself.
Primary Language (PL): Java (with JDK >= 15) & Scala 3
Secondary Language (SL): Dart & Javascript
Primary Database (PD): Orientdb in clustered mode with support for Key/Value, JSON
and Graph
Secondary Database (SD): Postgresql >= 14 with GIS and JSON support
Backend Frameworks: Java & ZIO ecosystem
Frontend Frameworks: ReactJS/VueJS & ScalaJS with NodeJS and FlutterWeb
Mobile Frameworks: Flutter 2/Dart along with existing Android native apps in Java.
Database Library: Quill/JDBC
DevOps: DevOps related utilities in Python/Go with their corresponding ecosystem.
Frameworks/libraries: Dapr, Kafka, Spark/Flink, Superset/Metabase, Kubernetes