Python Back-End Engineer - Remote Position

About the Role

We are seeking a highly skilled Python Back-End Engineer to join our customer’s team, building robust, scalable APIs with modern Python and FastAPI. This Python Back-End Engineer remote role emphasizes high-quality engineering practices, asynchronous programming, and CI/CD workflows in a collaborative, remote-first environment.

What You'll Do

• Design, implement, and maintain high-performance APIs using Python, FastAPI, and Pydantic.
• Apply advanced asynchronous programming (async/await, asyncio) for scalable backend services.
• Drive quality through test-driven development (TDD), writing robust unit and integration tests using pytest.
• Model and validate data with Pydantic, ensuring clean schema design and adherence to API contracts.
• Contribute to architectural discussions, applying SOLID principles, clean code practices, and industry-standard design patterns.
• Collaborate via Git and PR-based workflows, ensuring knowledge sharing and code quality across the team.
• Ensure production readiness through observability, error handling, and continuous deployment via modern CI/CD pipelines.

Requirements

• Strong, hands-on experience in Python, with deep understanding of modern language features and performance optimization.
• Proven experience developing APIs with FastAPI, Pydantic, and Python’s async programming ecosystem.
• Solid grasp of RESTful API design, OpenAPI/Swagger standards, and practical API versioning strategies.
• Demonstrated proficiency in TDD or test-first development, including writing tests with pytest.
• Comprehensive understanding of SOLID principles, clean code, design patterns, and low-level design trade-offs.
• Experience with Git, CI/CD workflows, and deploying code in containerized/cloud environments (Docker, AWS/GCP/Azure).
• Knowledge of relational and/or NoSQL databases (e.g., PostgreSQL), with strong database interaction skills.

Nice to Have

• Experience with advanced data processing frameworks such as Polars or similar columnar data libraries.
• Familiarity with event-driven and domain-driven design (DDD) architectures.
• Exposure to Kubernetes or advanced cloud-native deployment models.

What We Offer

• Competitive salary with opportunities for growth.
• Fully remote work environment with flexible hours.
• Collaborative team culture that values innovation and quality.
• Access to the latest tools and technologies.
• Support for professional development and continuous learning.