• Escrever cenários de testes; • Executar testes funcionais; • Acompanhar publicações de projetos; • Criar documentação que auxilie a gestão de conhecimento; • Relatórios com métricas de qualidade para acompanhamento da evolução do trabalho; • Efetuar análise de requisitos; • Executar testes de integração, teste de API e teste de performance; • Efetuar suporte ao time de desenvolvimento; • Criar treinamentos e dará suporte ao time de qualidade; • Criar manuais e histórias de usuários; • Criar a arquitetura de testes (ambiente, dispositivos e massa de dados); • Testes de layout (inspeção de elementos).

Role Description We are seeking a talented QA Automation Engineer with 4+ years of automation experience to help ensure the quality and reliability of our products. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex challenges, and is passionate about delivering exceptional user experiences. - Work closely with software engineers, product managers, and stakeholders to develop robust automated testing solutions. - Improve quality processes and support the delivery of mission-critical financial applications. - Design, develop, and maintain automated test frameworks and test cases. - Create and execute functional, regression, integration, and end-to-end tests. - Collaborate with developers and product teams to define testing strategies and acceptance criteria. - Identify, document, and track defects through resolution. - Perform API testing and validate integrations between systems. - Contribute to CI/CD pipelines by integrating automated tests into deployment processes. - Analyze test results and provide actionable feedback to improve product quality. - Ensure compliance with quality standards for highly regulated financial applications. - Participate actively in Agile ceremonies and continuous improvement initiatives. - Advocate for quality best practices throughout the software development lifecycle. Qualifications - 4+ years of hands-on experience in QA Automation. - Strong experience with automation tools such as Selenium, Cypress, Playwright, or similar frameworks. - Experience testing web-based applications and APIs. - Solid understanding of software testing methodologies, QA processes, and automation best practices. - Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. - Familiarity with Agile/Scrum development environments. - Experience with version control systems such as Git. - Strong analytical, troubleshooting, and problem-solving skills. - Excellent communication skills in English. Requirements - Nice to Have: - Previous experience working in FinTech, Banking, Payments, Lending, or Financial Services environments. - Knowledge of security testing and compliance requirements. - Experience with performance and load testing. - Exposure to cloud environments such as AWS, Azure, or GCP. Benefits - Work for a US company! - All additional benefits by Dominican Law (13th Salary, etc.) - Private Health Insurance - Paid Time Off - Work From Home - Only Dominican citizens.

• Design, develop, and execute comprehensive test plans and test cases for functional, non-functional, regression, performance, and accessibility testing • Lead test automation initiatives by developing, maintaining, and enhancing automated test scripts using tools such as Selenium, Cypress, or Appium • Collaborate with developers, product owners, and stakeholders to understand requirements and define effective testing strategies • Review test cases, automation scripts, and test results to ensure coverage, accuracy, and alignment with business requirements • Identify, document, track, and communicate software defects using bug-tracking tools, ensuring timely resolution • Analyze testing metrics and results to provide insights and recommendations for improving QA processes and product quality • Participate actively in Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives • Mentor and support QA team members by providing coaching, technical guidance, and best-practice standards • Contribute to continuous improvement initiatives within the QA function and across engineering teams • Partner with leadership to align quality goals with business objectives

• Define and own the organisation-wide performance testing and engineering strategy. • Establish standards for: • Performance testing approaches • Workload modelling • Capacity planning • Introduce and scale performance engineering practices across multiple delivery teams. • Provide technical leadership and mentoring to QA and engineering teams on performance best practices. • Align performance goals with business SLAs, SLOs, and user experience expectations. • Design and implement scalable performance test frameworks and automation pipelines. • Lead adoption of tools such as: • Gatling, JMeter, k6, Locust or similar • Build reusable solutions for: • Load testing • Stress testing • Spike testing • Soak testing • Integrate performance testing into CI/CD pipelines for continuous validation. • Ensure performance tests are repeatable, reliable, and production-representative. • Define realistic user workload models based on production data and usage patterns. • Design performance test scenarios reflecting: • Peak load • Concurrent users • Throughput and latency requirements • Apply risk-based prioritisation for performance testing. • Ensure coverage across: • APIs • Microservices • Data pipelines • Event-driven systems • Lead performance validation for: • Microservices architectures • Event-driven systems (Kafka) • High-throughput APIs • Analyse latency, throughput, error rates, and bottlenecks across distributed systems. • Validate system behaviour under failure conditions and degraded environments. • Ensure horizontal scalability and resilience strategies are tested. • Validate performance across: • AWS cloud environments • Containerised platforms (Docker, Kubernetes) • Conduct capacity planning and infrastructure benchmarking. • Ensure systems scale efficiently using: • Auto-scaling • Load balancing • Distributed architectures • Evaluate performance of Infrastructure as Code (Terraform) deployments. • Use observability tools to analyse system performance, including: • Metrics (Prometheus, Datadog) • Logs (ELK) • Traces (distributed tracing tools) • Identify and diagnose: • CPU, memory, I/O bottlenecks • Network latency issues • Database performance constraints • Collaborate with engineering teams to optimise system performance and architecture. • Define and enforce performance SLAs, SLOs, and acceptance criteria. • Establish quality gates for performance within CI/CD pipelines. • Ensure performance requirements are validated before production release. • Drive adoption of performance testing standards across teams. • Support audit, compliance, and regulatory expectations in performance-critical systems. • Analyse real production performance data to refine testing strategies. • Lead performance-related incident investigations and RCA activities. • Establish feedback loops between production observability and test environments. • Drive improvements in: • System responsiveness • Stability under load • Operational resilience. • Define and track performance KPIs, including: • Response times • Throughput • Error rates • Resource utilisation. • Build performance dashboards and reporting frameworks. • Drive continuous optimisation initiatives based on performance data. • Align performance metrics with business outcomes and user experience.