PYTHON BACKEND ENGINEER — AWS & AI FOCUSED

Latin America | 100% Remote

ABOUT CODEROAD

CodeRoad provides end-to-end software development services, helping businesses
scale with ideal infrastructure solutions. From staff augmentation to dedicated
IT teams and general software engineering, our nearshore technology services
empower businesses to thrive in an ever-evolving digital landscape.

ABOUT THE ROLE

The Intermediate Python Backend Engineer (Level 2) serves as a technical
backbone for feature delivery within our nearshore delivery PODs. In this role,
you will design, build, and maintain high-performance Python microservices on
AWS, while seamlessly integrating cutting-edge AI capabilities such as LLM APIs,
Amazon Bedrock, and Retrieval-Augmented Generation (RAG) workflows. You will
anchor core backend features, write clean and scalable code, and collaborate
directly with US-based client stakeholders and senior engineers in an agile
environment.

This role is critical to accelerating our client's AI-driven software
initiatives, directly impacting the scalability,



intelligence, and overall
reliability of their cloud ecosystem. By taking ownership of backend execution
and continuous system optimization, you will ensure our engineering deliverables
meet the highest standards of performance, security, and developer efficiency.

KEY RESPONSIBILITIES

* Design & Build performant, scalable Python APIs and microservices on AWS
leveraging frameworks such as FastAPI, Django, or Flask.
* Integrate & Orchestrate modern AI capabilities into existing backend
architectures, connecting services to LLM endpoints (Amazon Bedrock, OpenAI,
Claude) and building RAG pipelines.
* Optimize & Manage cloud database operations, writing efficient SQL and NoSQL
queries across AWS RDS (PostgreSQL/MySQL) and DynamoDB.
* Lead Quality Standards through TDD, writing comprehensive unit and
integration tests (pytest) while maintaining thorough API documentation.
* Collaborate & Communicate effect

📌 Python Backend Engineer (Modena)
🏢 CodeRoad
📍 Modena