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Engineering Lead

vor 3 Monaten


Berlin, Berlin, Deutschland Delivery Hero Vollzeit
Job Overview

We are seeking an Engineering Manager - Optimization, Logistics (all genders) to enhance our Logistics division and contribute to a swift, dependable, and transparent delivery service. You will play a crucial role in supporting our riders across numerous countries, ensuring they have access to a stable and effective application that simplifies their tasks and connects them with millions of customers daily. If you possess a knack for innovative problem-solving and are eager for a new challenge, a dynamic international environment awaits you.

The Optimization team is responsible for the core components of our Logistics framework, which includes a suite of services designed to identify the optimal rider for each order. This is achieved by addressing the Vehicle Routing Problem on a large scale and developing tools for operations managers, all while collaborating closely with the rider application that drives the entire experience and maintains transparency at all times.

  • Lead and inspire a skilled team of engineers.
  • Continuously enhance the stability and scalability of our services.
  • Collaborate with various teams, articulating solutions to both technical and non-technical stakeholders while addressing challenges.
  • Ensure operational and technical excellence within the team.
  • Employ modern software development practices such as continuous delivery, TDD, and scrum, while working alongside product managers.
  • Engage in code reviews and assist in application debugging and diagnostics.

Required Qualifications

  • At least 3 years of hands-on experience, including a minimum of 2 years in technical leadership and team management.
  • Prioritize the development of your team by setting ambitious goals and providing constructive feedback to support their growth.
  • Strong programming background with experience in developing Backend Applications (Java/Kotlin).
  • Comprehensive understanding of data structures and algorithms.
  • Proven experience in designing and implementing large-scale software systems.
  • A curious mindset with creative problem-solving skills and attention to detail.
  • Ability to manage competing priorities and effectively communicate with stakeholders.