Senior Backend / Platform Engineer

Our client is a leading European tech company building scalable, high-performance backend services and platforms for enterprise and AI-driven applications.
Our mission is to combine cutting-edge backend technologies with reliable, automated DevOps practices, ensuring secure, maintainable, and high-quality systems for our clients.

As a Senior Backend Engineer (Python / FastAPI), you will play a key role in designing, developing, and deploying backend services, internal tools, and platform infrastructure. You will collaborate closely with product teams, frontend engineers, and DevOps to deliver robust, scalable, and production-ready solutions.

Responsibilities:

• Develop and maintain backend services using Python (FastAPI)

• Work with PostgreSQL to design schemas, optimize queries, and ensure data integrity

• Build and maintain internal CLI tools using TypeScript

• Manage a monorepo using Nx

• Manage deployment workflows and infrastructure using Kubernetes (K8s) and Helm

• Implement CI/CD pipelines using GitHub Actions for automated testing and deployment

• Collaborate with cross-functional teams to improve system architecture, reliability, and scalability

• Troubleshoot and optimize performance across backend services and infrastructure

Requirements:

• 5+ years of experience in backend development in a production setting with real users

• Strong proficiency in Python, especially building APIs with FastAPI

• Solid experience with relational databases, preferably PostgreSQL

• Experience with TypeScript / Nx for tooling or automation tasks

• Hands-on experience with Kubernetes (K8s) and Helm

Familiarity with containerization best practices (Docker)

• Experience designing and maintaining CI/CD pipelines (GitHub Actions or similar)

• Strong problem-solving skills, system design thinking, and attention to detail

• Exposure to observability, logging, and monitoring tools

Nice to Have:

• Experience with cloud platforms (AWS, GCP, Azure)

• Exposure to observability, logging, and monitoring tools

• Experience integrating backend systems with frontend or AI/ML pipelines

Technology Stack:

• Backend: Python (FastAPI), PostgreSQL

• DevOps / Platform: Kubernetes (K8s), Helm, CI/CD (GitHub Actions)

• Internal tooling: TypeScript / Nx for CLI and automation tools

• Other: Docker, cloud infrastructure (AWS/GCP/Azure), monitoring and observability