---
title: 'Python Backend Engineer at CodeRoad'
canonical: 'https://feeny.ai/job/python-backend-engineer-coderoad-latin-america-a180wnzaja8d'
type: 'job'
last_seen: '2026-09-10'
---

# Python Backend Engineer at CodeRoad

- **Company:** CodeRoad
- **Location:** Latin America
- **Work type:** remote
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4367876009

## Job description

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 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.

## Requirements

- 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.

## Nice to Have

- 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).

## What You’ll Love

- 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.

## About CodeRoad

## Company Overview
- **One-liner**: CodeRoad is a next-generation technology execution partner that delivers nearshore software development, AI engineering, and digital transformation services through its Velocity-as-a-Service™ model.
- **Entity Type**: Private (bootstrapped / internally funded – no external funding rounds publicly disclosed)
- **Headquarters**: Not publicly disclosed; delivery hubs across 14 countries in Latin America with US-based leadership team. First delivery center opened in La Paz, Bolivia (2008).
- **Founded**: 2002
- **Founders**: Not publicly named; leadership team includes Dennis Odishoo (CEO & Partner), Todd Workman (COO & VP of Sales), Marcelo Schenone (VP of Delivery & Engineering), and Jess Young (Director of People & Culture).

## Core Business
- **Primary industries**: Software engineering services, AI engineering, digital transformation consulting, nearshore outsourcing.
- **Target customers**: Enterprise and mid-market companies (B2B) across luxury retail, financial services, automotive, and enterprise software.
- **Mission**: “Empower organizations to accelerate technology delivery through AI-ready systems and end-to-end software solutions that foster innovation, seamless integration, and measurable business impact.”

## Products & Services
- **Velocity-as-a-Service (VaaS)**: Outcome-based delivery model combining elite nearshore engineers, AI-powered development systems, and senior-led delivery pods. Measures success through execution performance and business value, not just staffing.
- **AI Engineering**: AI readiness assessments, agentic workflows, production deployment of AI/ML models, and AI-native delivery – built with secure-by-design governance (SOC2, HIPAA, PCI-DSS).
- **Nearshore Software Development**: Senior-led pods operating in U.S. time zones, providing full-stack, backend, frontend, mobile, DevOps, data engineering, and QA automation.
- **Digital Transformation**: Modernization of legacy systems, platform migration, and strategic execution of large-scale transformation programs with embedded architects and product leaders.

## Market Standing
- **Valuation / Funding**: Not publicly available (no disclosed valuation or funding rounds).
- **Key Metrics**: 
  - Client satisfaction rating: 4.8/5
  - Client retention: over 80% of clients stay beyond 5 years
  - 20+ years of SDLC execution experience
  - Delivery footprint across 14 Latin American countries
- **Notable Clients / Partners**: Historical clients include GM, Ford, and Whirlpool (from early supply chain platform). Current clients span luxury retail, financial services, automotive, and enterprise software (specific names not disclosed).
- **Growth Signals**: 
  - 36 active job openings as of July 2026 (Senior AI Engineer, MLOps, Delivery Director, etc.)
  - Expanding AI engineering and agentic workflow capabilities
  - Nearshore 3.0 model embedding talent, product leadership, and delivery accountability

## Competitive Advantages
- **Velocity-as-a-Service™ model** – moves from hiring to active production in weeks, not months, with outcome-based accountability.
- **Nearshore advantage** – LATAM engineers aligned to U.S. business hours, same time zone, cultural alignment, and cost efficiency.
- **Senior-led delivery pods** – experienced engineering leaders co-own delivery outcomes, not just staff augmentation.
- **Secure-by-design** – SOC2, HIPAA, and PCI-DSS built into architecture from day one, eliminating costly compliance retrofits.
- **Long-term partnerships** – over 80% retention for 5+ years demonstrates trust and consistent value delivery.
- **AI-powered SDLC** – agentic AI embedded into workflows, multi-agent systems for automation, and real-time performance dashboards.

## Strategic Focus
- Scaling the Velocity-as-a-Service model as the primary go-to-market offering.
- Deepening AI engineering capabilities (agentic workflows, production AI deployments, ML pipelines).
- Expanding nearshore delivery capacity across more LATAM countries while maintaining senior talent density.
- Helping enterprise clients move from AI experimentation to measurable business outcomes.
- Continuing to differentiate from traditional staff augmentation by embedding product leadership and delivery accountability.

## Why Work Here
- **Remote-first work model** – engineers can work from home across Latin America.
- **Competitive compensation**: Salaries paid in USD, plus health insurance assistance, paid vacation/holidays.
- **Career growth & learning**: Quarterly bootcamps, tech summits, mentorship programs, training and educational reimbursement.
- **High-impact projects**: Work on complex, real-world challenges for global industry leaders, building AI systems and modern platforms.
- **Culture**: “People-first” environment with a diverse global team, emphasis on collaboration and continuous innovation.
- **Senior talent density**: Opportunity to work alongside experienced engineering leaders and product managers.
- **Work schedule**: Aligned to U.S. business hours, enabling close collaboration with North American teams.

## Sources
1. [coderoad.com](https://coderoad.com/)
2. [coderoad.com/about-us](https://coderoad.com/about-us)
3. [coderoad.com/careers](https://coderoad.com/careers)
4. [job-boards.greenhouse.io/coderoad](http://job-boards.greenhouse.io/coderoad)
5. [linkedin.com/company/coderoad-inc](https://www.linkedin.com/company/coderoad-inc)

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