Backend Engineer (Python)

About us
In Silverbee we are building an AI-powered SaaS platform designed to transform how SEO professionals and digital marketers work. We automate repetitive marketing tasks and complex SEO workflows through intelligent AI agents that integrate with industry-leading tools.
Our team is a diverse, cross-national group of experts spread across the globe — uniting engineers, data scientists, product managers, and marketing professionals from leading technology and marketing companies. We bring together deep expertise across AI, SEO, analytics, and large-scale SaaS development.
Who are we looking for
We’re looking for a strong Backend Engineer (Python) with solid experience in designing and building production-ready systems. You should be comfortable making architectural decisions, writing clean and maintainable code, and working in a fast-moving environment. The ideal candidate is someone who takes ownership, enjoys solving complex technical challenges, and can translate business needs into scalable backend solutions.
What You’ll Work On
• Develop and evolve backend APIs supporting complex business workflows, AI agent interactions, and cross-service integrations.
• Design and implement a scalable multi-tenant architecture for our platform
• Build API Integrations for AI Agents, connect external tools (Google Search Console, Analytics, Ahrefs, etc.) to our AI system through
• Add new integrations using MCP to expand our AI capabilities
• Implement architectural improvements, including refactoring monolithic components into modular microservices
• Improve system observability through better logging, metrics, and tracing practices
Technology Stack
• FastAPI as a web framework
• Uvicorn - ASGI web server
• Pydantic - Data validation
• PostgreSQL with vector support
• Redis/Valkey - Caching and pub/sub
• ClickHouse - Analytics/OLAP database
• SQLAlchemy - ORM
• Datadog DDTrace - APM monitoring
• Docker, k8s, AWS, Github Actions
Required Skills
• Strong proficiency in Python (4+ years of professional experience)
• In-depth understanding of asynchronous programming, including asyncio and async/await
• Expertise with FastAPI, covering middleware, dependency injection, Server-Sent Events (SSE) streaming, and lifecycle management
• Solid grasp of software architecture principles and best practices for scalable systems
• Hands-on experience with PostgreSQL and database design
• Strong knowledge of data validation and processing techniques
• Proven experience building and maintaining production-grade systems
• Practical knowledge of deploying, scaling, and managing containerized python applications in Kubernetes environments
Preferred Qualifications
• Experience with AI/ML frameworks, particularly LLMs
• Background in marketing analytics or web analytics
• Knowledge of prompt engineering for LLMs
• Experience with data visualization libraries
• Experience with Docker containerization, Docker Compose orchestration, and managing multi-container applications
The reason this job vacancy is written in English is that we are looking for a candidate who has proficiency in the language at the B1-B2 level.
If you are interested in participating in our project, please apply for the vacancy! We look forward to meeting you!