---
title: 'QA Automation Engineer at CodeRoad'
canonical: 'https://feeny.ai/job/qa-automation-engineer-coderoad-latin-america-qp1w67g5rbc0'
type: 'job'
last_seen: '2026-09-10'
---

# QA Automation Engineer at CodeRoad

- **Company:** CodeRoad
- **Location:** Latin America
- **Work type:** remote
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4371859009

## Job description

## 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 Automation QA Engineer (Level 2) is a key contributor within a Product Oriented Delivery (POD), responsible for the consistent delivery of automated test tasks and framework enhancements. At Level 2, the role moves beyond the foundational learning stage and is expected to handle well-defined automation challenges with increasing independence.

The primary focus of the role is high-quality execution. You are expected to write clean, maintainable automation scripts, participate actively in Agile ceremonies, and collaborate effectively with your peers. While you still receive guidance on complex testing architecture decisions from Senior Automation Engineers, you are expected to take initiative in automating test scenarios and managing your own time to meet sprint automation goals.

## Key Responsibilities

1. Technical Implementation

- Task Execution: Deliver automated UI and API test scripts, fix flaky tests, and perform maintenance tasks that are performant, secure, and aligned with project standards.
- Code/Deliverable Quality: Adhere to established best automation practices (e.g., DRY principles, Page Object Models, linting) to ensure the long-term health and stability of the test codebase.
- Testing & Validation: Own the quality of your automation work by implementing local execution validations and ensuring scripts pass reliably before handing off for peer review.

1. Team Contribution & Collaboration

- Active Participation: Engage in daily stand-ups, grooming sessions, and retrospectives, providing clear updates on automation progress, coverage gaps, and script blockers.
- Peer Reviews: Participate in the code review process, both by receiving feedback with a growth mindset and by providing initial pull request reviews for testing peers.
- Documentation: Contribute to technical testing documentation and “readmes” to ensure the test framework setup and execution knowledge remains shared and accessible.

1. Continuous Learning

- Skill Development: Actively work to master the automation tools, programming languages, and CI/CD technologies used within your Product Oriented Delivery (POD), seeking out learning opportunities.
- Process Adoption: Consistently follow the team’s Git workflows, automation CI/CD pipeline execution processes, and communication protocols (Slack, Jira, etc.).

Success Measures

- Predictability: Ability to estimate automation tasks accurately and deliver reliable scripts within the agreed-upon sprint timeframe.
- Technical Growth: Demonstrable improvement in automation depth, clean code practices, and the ability to handle increasingly complex data-driven testing tasks over time.
- Team Synergy: Positive contributions to the Product Oriented Delivery (POD)’s velocity and a collaborative attitude toward improving continuous integration stability.
- Quality Ratio: Maintaining a low rate of “returns” on automated pull requests and reducing the occurrence of false positives within test executions.

Core Competencies

- Technical Proficiency: Solid understanding of quality assurance automation principles, programming languages (such as JavaScript, TypeScript, Java, or Python), and test execution tools. API testing experience, is better if it’s with postman, database sql basic to mid
- Logical Reasoning: Ability to debug script failures systematically and understand how application source code changes impact the automated testing suite.
- English Communication: Intermediate to advanced English skills, sufficient for participating in technical code discussions and writing clear repository documentation.
- Proactivity: A “can-do” attitude and the willingness to ask questions early to avoid test automation development roadblocks.

## Requirements

- Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 2–4 years of professional experience in a QA Automation Engineer or SDET role.
- Experience working within an Agile/Scrum framework.
- Familiarity with version control (Git), fundamental execution environments, and basic CI/CD pipeline knowledge.
- Experience with at least one major automation testing framework (e.g., Cypress, Selenium, Playwright).
- Solid English proficiency (written and verbal) for client-facing collaboration.

What you’ll love:

- USA Contractor / 100% Remote
- Competitive Pay (USD)
- Holidays Off & Paid Time Off
- Health insurance assistance program
- A supportive environment focused on mentorship and professional career paths.

## 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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