--- title: 'Senior QA Automation Engineer at CodeRoad' canonical: 'https://feeny.ai/job/senior-qa-automation-engineer-coderoad-latin-america-52sr9dvrffk3' type: 'job' last_seen: '2026-10-15' --- # Senior QA Automation Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-04-08 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4211782009 ## Job description The Team At Coderoad, we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for. We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level! ## About the Role As a Senior QA Automation Engineer, you will own the quality strategy and automated testing framework for mission-critical applications. You will act as the primary anchor for ensuring system reliability, building scalable test suites that cover API, Web, and Mobile layers. This role requires an autonomous mindset to identify edge cases, reduce manual testing overhead, and drive a "quality-first" culture within the POD. Your success is measured by test coverage, the speed of feedback loops, and your ability to mentor engineers on modern testing methodologies. ## Key Responsibilities - Framework Design: Lead the design and maintenance of automated testing frameworks (e.g., Selenium, Cypress, Playwright, or Appium). - Test Orchestration: Build and evolve comprehensive test suites for APIs and frontends to ensure stable delivery. - CI/CD Integration: Integrate automated tests into deployment pipelines to enable continuous testing and rapid releases. - Quality Advocacy: Work closely with developers and product owners to define acceptance criteria and identify risks early in the lifecycle. - Team Influence: Elevate the team’s quality standards through deep code reviews of test scripts and mentoring L1/L2 QA engineers. ## Requirements - Experience: 5+ years in Software Quality Assurance with a heavy focus on automation. - Automation Mastery: Advanced proficiency in tools like Selenium, Playwright, Cypress, or similar. - Coding: Strong proficiency in at least one programming language used for automation (Java, C#, JavaScript, or Python). - API Testing: Deep experience testing RESTful APIs using tools like Postman, RestAssured, or similar. - DevOps: Understanding of Git and CI/CD integration for automated testing. - Communication: Advanced English proficiency (written and verbal) for collaboration with US-based clients. - Environment: Mandatory experience in nearshore/offshore client-facing startup cultures. ## What you’ll love - 100% Remote - Paid Time Off - Holidays Off - Health insurance assistance program - Competitive Pay (USD) - Excellent team culture and collaboration - Training and learning opportunities ## 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 AI Product Owner](https://feeny.ai/job/senior-ai-product-owner-coderoad-latin-america-1t6nahefztan) — Latin America - [Mid Azure DevOps Engineer](https://feeny.ai/job/mid-azure-devops-engineer-coderoad-latin-america-k1es9kefh6fs) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-united-states-xsvbcx1z5z1d) — United States - [Senior Blazor / .NET Developer](https://feeny.ai/job/senior-blazor-net-developer-coderoad-latin-america-j9xd61rwjb8t) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-latin-america-c60n0aqprnjw) — Latin America - [Senior .Net/Blazor Developer](https://feeny.ai/job/senior-net-blazor-developer-coderoad-latin-america-t0hw8gt9jg2k) — Latin America - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-coderoad-latin-america-wmhr82dba3bp) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-5jkpmc3jr97e) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-j7yzbref9x03) — Latin America - [Senior .NET Engineer](https://feeny.ai/job/senior-net-engineer-coderoad-latin-america-fszypd2wpnn4) — Latin America