Python Backend Engineer
CML Team seeks a Python Backend Engineer to own backend features end-to-end — from data model to production — for data-heavy SaaS platforms, integrations, and AI-powered products serving clients in the US and Europe. Core stack: Python, FastAPI, PostgreSQL, Docker/CI-CD, and a major cloud.
- Compensation
- Not disclosed
- Location
- Europe
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Backend
- Posted
Skills
Must have
- At least 3 years of professional backend development experience with strong Python skills
- Strong experience with FastAPI and asynchronous programming (Django or Flask also relevant)
- Solid PostgreSQL knowledge: database design, indexing, migrations, query optimization
- Experience building REST APIs and background jobs for production applications
- Proficiency with Docker, CI/CD, and at least one major cloud platform (AWS, GCP, or Azure)
- Experience writing automated tests with pytest and production-quality development practices
Nice to have
- Experience with LLM APIs, RAG features, or AI-powered applications
- Knowledge of Celery, Redis, or other queue/background-processing systems
- Experience with Supabase, multi-tenant SaaS platforms, or role-based access control
- Experience integrating third-party APIs such as Stripe, HubSpot, Google, or Twilio
- Upper-intermediate level of English
Full description
We're seeking a talented Python Backend Developer to build reliable backend services for data-heavy SaaS platforms, integrations, and AI-powered products for clients in the US and Europe. If you enjoy owning backend features from data model to production, we'd love to hear from you!
Core Competence:
At least 3 years of professional experience in backend development, with strong Python skills and hands-on experience building production applications.
Strong experience with FastAPI and asynchronous programming; experience with Django or Flask is also relevant.
Solid knowledge of PostgreSQL, including database design, indexing, migrations, and query optimization.
Experience building REST APIs and background jobs for production applications.
Proficiency with Docker, CI/CD, and at least one major cloud platform such as AWS, GCP, or Azure.
Experience writing automated tests with pytest and following production-quality development practices.
Preferred Qualifications:
Experience working with LLM APIs, RAG features, or AI-powered applications.
Knowledge of Celery, Redis, or other queue and background-processing systems.
Experience with Supabase, multi-tenant SaaS platforms, or role-based access control.
Experience integrating third-party APIs such as Stripe, HubSpot, Google, or Twilio.
Upper-intermediate level of English for clear and effective communication in a global team.
What We Offer You:
Competitive compensation aligned with your skills, experience, and career ambitions.
An innovative work environment with opportunities to build modern SaaS and AI-powered products and continuously develop your backend expertise.
Direct communication with clients from the US and Europe and the opportunity to contribute to technical decisions.
Long-term cooperation with opportunities to move between projects and continue growing with the team.