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Senior Application Engineer - CRM Platform - Remote

Posted 12 weeks ago
Software Development
Full Time
Finland

Overview

As a Senior Application Engineer at Wolt, you will lead the development and deployment of innovative applications that enhance the merchant experience and operational efficiency through a scalable CRM platform.

In Short

  • Lead the development and deployment of innovative applications.
  • Collaborate with product managers and designers to deliver impactful solutions.
  • Drive technical architecture decisions for robustness and scalability.
  • Mentor junior team members and contribute to their growth.
  • Design and develop applications within the Salesforce platform.
  • Stay current with the latest Salesforce features and best practices.

Requirements

  • 5+ years of experience in application engineering.
  • Strong expertise in Salesforce or equivalent CRM platforms.
  • Proficiency in modern programming languages like Java, Python, or Node.js.
  • Experience with RESTful API design and microservices architecture.
  • Proficiency in front-end technologies: HTML, CSS, and React.
  • Strong analytical skills and excellent communication abilities.

Benefits

  • Flexible working options: remote, in-office, or hybrid.
  • Opportunities for learning and professional growth.
  • Supportive team culture with a focus on diversity.
  • Access to modern tools and technologies.
  • Impactful work that improves merchant efficiency and customer experience.

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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