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Fullstack Engineer (Scala/Kotlin and React) - Remote

Posted 7 weeks ago
Software Development
Full Time
Worldwide

Overview

Wolt is seeking a Fullstack Engineer to join the Self Delivery Team, focusing on scalable software solutions for the delivery industry.

In Short

  • Join a fast-paced team working on scalable software solutions.
  • Work hands-on with logistics services for global deliveries.
  • Collaborate with customers and partners to build valuable products.
  • Experience with front and back-end technologies, including Scala and React.
  • Flexible work environment with opportunities for growth.
  • Contribute to managing fleet operations for Self Delivery merchants.
  • Exposure to technologies like Kotlin, Python, and MongoDB.
  • Work with a team that values collaboration and knowledge sharing.
  • Be part of a company that is expanding globally.
  • Negotiable compensation with opportunities for equity in the company.

Requirements

  • Experience in back-end development with Scala, Kotlin, or JVM.
  • Familiarity with front-end technologies, especially React.
  • Ability to work flexibly within a fluid team.
  • Passion for learning and working with new technologies.
  • Interest in growing front-end skills.

Benefits

  • Opportunity to work in a dynamic and innovative environment.
  • Chance to be part of a growing global company.
  • Flexible working arrangements.
  • Collaborative team culture.
  • Equity options through DoorDash RSUs.

W.E

Wolt - English

Wolt is a technology company that aims to bring joy, simplicity, and earnings to neighborhoods around the world. Founded in 2014, Wolt initially focused on restaurant food delivery and has since expanded to deliver a wide range of products in over 500 cities across 30 countries. In 2022, Wolt joined forces with DoorDash, further enhancing its global reach. The company fosters an exciting and challenging work environment where employees are encouraged to learn, build, and innovate. Wolt's Applied Scientists leverage advanced machine learning and data science techniques to solve complex business challenges, particularly in inventory management and optimization, ultimately enhancing the customer experience and operational efficiency for its merchants.

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