Build and maintain scalable Python APIs and microservices on AWS, integrating LLM services, Amazon Bedrock, and RAG workflows. Manage relational and NoSQL databases, write automated tests, document APIs, monitor production systems, and optimize performance. Collaborate with US-based clients and senior engineers in agile delivery teams while supporting reliable, secure cloud applications.
Python Backend Engineer — AWS & AI Focused
Latin America | 100% Remote
About CodeRoadCodeRoad 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 RoleThe 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 effectively in daily standups and sprint reviews, articulating technical blockers, feature estimations, and progress directly to US clients.
- Monitor & Maintain system health and production telemetry using AWS CloudWatch, actively fixing bugs and refactoring code for optimal execution.
- 2–4 years of professional experience in backend software engineering using Python (AsyncIO, FastAPI/Django/Flask, SQLAlchemy).
- 1–2+ years of hands-on experience developing, deploying, and supporting serverless and containerized services on AWS (Lambda, API Gateway, S3, ECS, RDS, DynamoDB).
- Proven track record building and consuming RESTful APIs and working with containerization tools (Docker) and modern Git workflows.
- Familiarity with AI/GenAI workflows (LLM APIs, LangChain, LlamaIndex, or Amazon Bedrock).
- Solid understanding of relational database design (PostgreSQL or MySQL) and basic NoSQL concepts.
- Ownership mindset with a methodical approach to problem-solving, debugging, and continuous learning.
- Advanced English proficiency (B2+/C1 written and verbal) for seamless daily collaboration with US teams.
- Bachelor's Degree in Computer Science, Systems Engineering, or equivalent practical experience.
- Working knowledge or basic familiarity with the Java / Spring Boot ecosystem in multi-stack backend environments.
- Practical experience using AI-assisted coding tools like Cursor, GitHub Copilot, or Claude Code.
- Exposure to infrastructure-as-code or automated CI/CD pipelines (GitHub Actions).
- 100% Remote work flexibility.
- Holidays off based on your local calendar.
- Paid Time Off (PTO) for vacation and personal days.
- Health insurance assistance.
- Competitive USD compensation.
- Growth opportunities and career advancement within global tech teams.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
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- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
