Senior Python Backend Engineer

Senior 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 Senior Python Backend Engineer serves as a technical anchor within our Delivery department, taking direct ownership of Python microservices, AWS cloud architecture, and cutting-edge AI integrations. As a senior contributor, you will move beyond executing tasks to owning outcomes—architecting resilient APIs, integrating LLM workflows, and maintaining standard-setting system reliability.

This role is critical to delivering high-impact nearshore software solutions and serving as a direct, articulate bridge to US-based client teams. You will drive system health and technical execution while mentoring junior and intermediate peers to continuously raise the engineering bar.

Key Responsibilities

Design and build scalable, high-performance asynchronous Python backend services and microservices deployed natively on AWS.

Build and orchestrate production-ready AI/GenAI integrations, leveraging tools like Amazon Bedrock, LLM APIs, Vector Databases, and modern RAG frameworks.

Optimize cloud systems and database performant pipelines across AWS Lambda, ECS/EKS, DynamoDB, RDS, and API Gateways.

Lead continuous improvement initiatives around code quality, test-driven development (TDD), security standards, and system observability.

Collaborate seamlessly with client product owners, stakeholders, and internal teams in English to turn complex requirements into technical solutions.

Requirements

Years of Experience: 5+ years of professional backend engineering experience with a primary focus on Python ; 3+ years architecting on AWS .

Core Tech Stack: Python 3.x (FastAPI, Django, Flask, AsyncIO), AWS cloud ecosystem (Lambda, ECS/EKS, DynamoDB, RDS, S3, API Gateway), SQL/NoSQL databases, and Docker .

AI Ecosystem: Hands-on exposure to LLM APIs (OpenAI, Anthropic), Amazon Bedrock , LangChain/LlamaIndex , Vector DBs, or RAG implementations.

Soft Skills: High sense of ownership, analytical problem-solving mindset, collaborative spirit, and strong technical communication skills.

Language: Advanced English proficiency (C1+ written and spoken) is mandatory.

Nice to Have

Working knowledge or hands-on experience with the Java / Spring Boot ecosystem (great for multi-stack migration projects).

Infrastructure as Code ( Terraform , AWS CDK ) and automated CI/CD pipeline management.

Experience with advanced event-driven architectures using Kafka , SQS/SNS , or EventBridge .

What You’ll Love

100% Remote work flexibility

Holidays off according to your local calendar

Paid Time Off (PTO)

Health insurance assistance

Competitive compensation in USD

Continuous career expansion and growth opportunities