Senior Backend Engineer - Python, Fastapi

Are you passionate about working on tech projects with a real-world impact? Would you like to be part of a company with a strong vision, solid product, and a multidisciplinary team driven by innovation? If you're a Backend Engineer experienced in Python and excited by the challenge of scaling systems that power the renewable energy revolution, this role is for you.

What will you do?

As a Mid / Senior Backend Engineer – Python, you’ll be a key technical contributor responsible for designing, developing, and maintaining the backend architecture of a robust battery management platform. You’ll work in a collaborative environment alongside DevOps, Software, and Hardware Engineers, as well as Product Managers.

Your key responsibilities will include :

Designing and developing scalable, secure, and efficient backend solutions for hardware / software integration.

Identifying technical risks and proposing architectural improvements for scalability and performance.

Delivering high-quality, tested code within agreed timelines.

Documenting technical standards, data streaming processes, and analytics workflows.

Proactively troubleshooting and resolving system issues to minimize operational impact.

Managing and optimizing cloud infrastructure resources to ensure reliability and efficiency.

Collaborating cross-functionally to ensure smooth service integration and system health.

What are we looking for?

~4+ years of experience in backend development.

~ Strong proficiency in Python for backend applications.

~ Good command of AWS, especially Lambda-based architectures.

~ Solid knowledge of SQL, clean code principles, and OOP.

~ Experience with Docker, microservices, and event-driven systems.

~ Strong documentation and communication skills.

~ Advanced English proficiency (spoken and written).

• &## ;

Bonus points for :

Experience with Infrastructure as Code tools such as Terraform.

Experience with the Serverless and FastAPI frameworks.

Knowledge of Kafka and analytical databases like Clickhouse .