---
title: 'QA Automation Lead at CodeRoad'
canonical: 'https://feeny.ai/job/qa-automation-lead-coderoad-latin-america-e0tn2fm2p68j'
type: 'job'
last_seen: '2026-09-10'
---

# QA Automation Lead at CodeRoad

- **Company:** CodeRoad
- **Location:** Latin America
- **Work type:** remote
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4331921009

## Job description

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

As a QA Automation Lead, you will serve as the technical backbone for our quality engineering organization, designing scalable automation frameworks while actively steering our testing strategy forward. You will anchor the shift from legacy manual processes toward a mature, automated quality ecosystem across web, mobile, and API layers. Recognizing that sustainable automation takes time to build, you will comfortably balance hands-on functional testing today with the strategic architectural vision needed for tomorrow.

This role is critical to transforming our delivery pipeline, accelerating release cycles, and reducing production risks in high-velocity environments. You will evaluate current tooling, recommend next-generation automation frameworks, and lead cross-functional engineering PODs through the execution of our quality roadmap. Your technical leadership will directly shape how we build, scale, and maintain resilient software solutions for US-based enterprise clients.

## Key Responsibilities

- Steer Automation Strategy: Evaluate legacy testing processes, select modern automation tools, and architect scalable testing frameworks (web, API, mobile) from the ground up.
- Execute Pragmatic Testing: Balance building new automation assets with hands-on manual and exploratory testing to maintain high quality coverage during the transition phase.
- Orchestrate Pipeline Integration: Embed automated test suites into CI/CD workflows to enable continuous validation, early defect detection, and fast feedback loops.
- Drive Tooling & Standards: Establish organization-wide QA standards, test data management practices, and framework maintenance guidelines to ensure long-term stability.
- Lead Quality Transformations: Guide engineering PODs through process shifts, leading risk assessments, defect triage, and root-cause analysis alongside development leads.
- Mentor & Elevate Engineers: Upskill manual QA team members, driving adoption of automation best practices through regular code reviews and technical mentoring.

## Requirements

- Experience: 6+ years of dedicated experience in software quality engineering, with at least 2+ years in a technical lead or transformation-focused role.
- Hands-on Automation Mastery: Proven track record building resilient, maintainable test automation frameworks using Playwright, Cypress, Selenium, or WebdriverIO.
- Pragmatic Mindset: Strong willingness to execute manual and functional testing as needed while designing and building out the long-term automation suite.
- API & Backend Testing: Deep expertise validating RESTful/gRPC APIs using both automated scripts and manual tools like Postman, Swagger, or Charles Proxy.
- Database & Tooling Proficiency: Advanced command of SQL for backend data validation alongside test management tools (Jira, TestRail, Zephyr).
- Soft Skills: High ownership mindset, proactive strategic leadership, and the ability to influence cross-functional technical stakeholders.
- Communication: Advanced English proficiency (written and verbal) for seamless collaboration with executive leadership and US-based clients.

## Nice to Have

- CI/CD Orchestration: Hands-on experience configuring automated test runs within GitHub Actions, Jenkins, or GitLab CI.
- Performance & Load Testing: Familiarity with performance and load testing frameworks like k6, JMeter, or Gatling.
- Mobile Automation: Experience setting up mobile test automation suites using Appium or Detox.
- Containerization: Basic experience with Docker for spinning up containerized test environments.

## What You’ll Love

- 100% Remote (USA Contractor model)
- Competitive USD compensation
- Holidays off & Paid Time Off
- Health insurance assistance program
- Growth opportunities with high-growth US-based companies and modern tech stacks

## 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)

## Other roles at CodeRoad

- [Senior .NET Engineer](https://feeny.ai/job/senior-net-engineer-coderoad-latin-america-fszypd2wpnn4) — Latin America
- [Data Engineer](https://feeny.ai/job/data-engineer-coderoad-latin-america-0zng29ervwan) — Latin America
- [Senior Agentic AI Engineer](https://feeny.ai/job/senior-agentic-ai-engineer-coderoad-latin-america-70cdthm40395) — Latin America
- [QA Automation Engineer](https://feeny.ai/job/qa-automation-engineer-coderoad-latin-america-qp1w67g5rbc0) — Latin America
- [Senior Fullstack Developer (Backend oriented)](https://feeny.ai/job/senior-fullstack-developer-backend-oriented-coderoad-latin-america-p4svqtzxgkys) — Latin America
- [Fullstack Developer](https://feeny.ai/job/fullstack-developer-coderoad-latin-america-jaf69a4c97n2) — Latin America
- [Python Backend Engineer](https://feeny.ai/job/python-backend-engineer-coderoad-latin-america-a180wnzaja8d) — Latin America
- [Senior React Engineer](https://feeny.ai/job/senior-react-engineer-coderoad-latin-america-za1j7j1e7c1k) — Latin America
- [Senior QA Automation Engineer](https://feeny.ai/job/senior-qa-automation-engineer-coderoad-latin-america-hhbbgwf4jha2) — Latin America
- [HubSpot Administrator](https://feeny.ai/job/hubspot-administrator-coderoad-latin-america-28pc2ef43ryk) — Latin America