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Lead Backend Engineer (Node.js/Golang/AWS) with German

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Description

Tech Stack:

  • Node.js
  • Golang (microservices, gRPC-based services)
  • Python (ETL-related components)
  • PostgreSQL
  • Redis (Key-Value stores)
  • gRPC & REST APIs
  • Docker & Kubernetes
  • AWS (cloud infrastructure)
  • RabbitMQ / AWS SQS (event-driven architecture)
  • NestJS

Project Description:

You will join the development of an advanced digital twin platform for the energy transition, designed to unify energy and climate-related data into a single, comprehensive solution.

The platform supports stakeholders involved in energy transformation by providing data-driven insights and decision-making tools. It addresses key challenges such as CO₂ balancing, renewable energy expansion, power grid planning, and municipal heating strategies.

Built on a modular and scalable architecture, the solution enables complex analytics and supports real-time insights in a rapidly evolving energy sector.

Required Qualifications:

  • 5+ years of professional experience in backend development at a Senior Software Engineer level
  • Strong commercial experience with Node.js
  • Fluent German (C1/C2) – mandatory , with the ability to communicate confidently with business stakeholders and clients
  • Very good command of English
  • Experience working directly with clients , including requirements gathering, solution discussions, and ongoing collaboration
  • Experience designing and developing scalable backend services and microservices
  • Experience with AWS services and cloud-based environments
  • Solid knowledge of PostgreSQL and database design for scalable, high-performance systems
  • Good understanding of Docker and Kubernetes
  • Experience designing and developing REST and/or gRPC APIs
  • Ability to work independently, take ownership, and drive solutions from concept to delivery
  • Strong communication and problem-solving skills

Nice to Have:

  • Experience with frontend technologies such as Angular, Svelte, and TypeScript is a plus
  • Experienced in using AI tools in day-to-day workflow
  • Knowledge of the energy or electric energy industry domain
  • Experience working within highly agile environments

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