We’re looking for a Senior Backend Engineer (Python) to help us grow and evolve the Cariqa platform. You’ll work on core Python backends built with Django and FastAPI, designing clean APIs, solving challenging data-driven problems, handling mission-critical flows (like payments), and mastering EV-related protocols like OCPI and OICP. You’ll take full ownership of features, from architecture to deployment, and help shape how we build and scale our product.
We’re a small, motivated team where your work will have real impact. If you enjoy building solid and pragmatic systems, working with data, and contributing to a fast-moving, mission-driven product, we’d love to meet you.
Your Responsibilities
Design, implement, and maintain backend services using Python over Django and FastAPI
Orchestrate complex use-cases across different domains (ev-charging, car connectivity, payments, routing, etc.)
Collaborate with the product team and the CTO to understand user needs and translate them into robust backend solutions
Participate in code reviews and contribute to architecture discussions to continuously improve our engineering practices
What We’re Looking For
5+ years of backend development experience, with strong Python skills
Solid experience with Django and FastAPI
Comfortable working with both SQL and NoSQL databases (especially PostgreSQL and MongoDB), and processing data using Panda
Experience working with modern cloud platforms like Google Cloud (preferably) or AWS
Strong understanding of API design and scalable systems
Experience with CI/CD setup and deployment workflows
Familiarity with agile development and Git-based workflows
Comfortable working in a fast-paced, collaborative environment
Excellent written and spoken English skills
Based in Berlin area
Bonus Points
Experience with EV-related protocols (OCPI, OCPP, OICP)
Knowledge of infrastructure-as-code tools (Terraform, etc.)
Experience with advanced Stripe API (Stripe Connect, etc.)
Experience with observability tools (Sentry, etc.)
Hands-on experience with data analysis and machine learning
Interest in the e-mobility and energy space