--- title: 'Senior QA Automation Engineer at CodeRoad' canonical: 'https://feeny.ai/job/senior-qa-automation-engineer-coderoad-latin-america-hhbbgwf4jha2' type: 'job' last_seen: '2026-09-10' --- # Senior QA Automation Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-08-10 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4361956009 ## Job description Location/Region 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 Senior QA Automation Engineer, you will serve as the technical backbone of our quality assurance strategy within high-performing delivery PODs. You will design, architect, and optimize robust automated testing frameworks across UI and API layers, ensuring high code quality and rapid delivery cycles for enterprise-grade applications. This role is critical to modernizing our testing ecosystem, expanding continuous integration pipelines, and embedding high-grade automation standards into everyday software development. You will work closely with cross-functional teams to eliminate bottlenecks, maintain framework scalability, and safeguard system reliability under load. ## Key Responsibilities - Design and maintain scalable, end-to-end test automation frameworks covering UI, API, performance, and regression testing scenarios. - Build advanced automated test suites using Java, Selenium, Playwright, and Cypress to ensure maximum application test coverage. - Implement robust API automation workflows using RestAssured, Postman, and Swagger to validate event-driven architecture and microservices. - Integrate automated test suites directly into CI/CD pipelines via GitHub Actions for continuous execution and early bug detection. - Optimize framework architecture and execution speed while conducting load and performance testing with JMeter. - Collaborate with cross-functional engineering teams to debug complex failures, monitor AWS environment logs, and drive root-cause analysis. ## Requirements - 5+ years of dedicated experience in Software Quality Assurance with a heavy focus on end-to-end automation. - Tech Stack Mastery: Deep experience with Java, Selenium, Playwright, Cypress, RestAssured, Postman, and JMeter. - Cloud & DevOps: Hands-on experience with GitHub Actions CI/CD and AWS services (S3, Lambda, event logs). - Agile & Methodology: Expertise in test case design, defect tracking tools (Jira, Rally), and core QA methodologies within Agile environments. - Soft Skills: High level of ownership, proactive approach to identifying test gaps, strong problem-solving skills, and self-drive. - Language: Advanced English (B2/C1+ written and verbal communication). ## Nice to Have - Familiarity with Docker or containerized test execution environments. - Knowledge of mock services and enterprise integration patterns. - Experience with contract testing tools like Pact. ## What You’ll Love - 100% Remote work flexibility. - Paid Holidays off. - Paid Time Off (PTO). - Health insurance assistance. - Competitive USD compensation. - Growth opportunities within global projects. ## 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. 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