Role Description Buscamos un(a) QA con 3 a 5 años de experiencia, enfocado(a) en liderar estrategias de aseguramiento de calidad, pruebas manuales y automatizadas, pruebas de performance y gestión de métricas de calidad a nivel transversal. Este rol será clave para garantizar la calidad del software durante todo el ciclo de vida de desarrollo, liderar equipos y fortalecer prácticas de testing alineadas con marcos ágiles. - Dirigir y ejecutar pruebas manuales y automáticas para aplicaciones frontend, móviles, APIs y servicios backend. - Diseñar estrategias y planes de prueba basados en historias de usuario y criterios de aceptación en formato BDD. - Definir y ejecutar pruebas funcionales y no funcionales, incluyendo performance. - Gestionar defectos, riesgos de calidad y documentación de cierre de pruebas. - Liderar la automatización de pruebas y proponer mejoras continuas en cobertura, calidad de código y eficiencia. - Diseñar e implementar métricas de calidad como bugs, cobertura de pruebas, calidad de código y OKRs. - Participar activamente en prácticas ágiles y en la definición de criterios de aceptación. - Monitorear y ejecutar estrategias de performance y análisis de resultados. - Trabajar con repositorios de código, pipelines CI/CD y herramientas de gestión de pruebas. Qualifications - Conocimiento sólido en procesos y tipos de pruebas, idealmente con base en ISTQB FL / AT. - Experiencia en diseño de casos de prueba funcionales y no funcionales. - Conocimiento medio en CI/CD, despliegue continuo y manejo de pipelines. - Conocimiento avanzado en pruebas de performance y herramientas asociadas. - Experiencia con herramientas como Jira (X-Ray), Confluence, Azure DevOps, Git. - Manejo de bases de datos SQL, Oracle, DB2 y Postgres. - Experiencia con frameworks y herramientas como Serenity BDD, ScreenPlay, Gherkin, Cucumber, Karate, K6, JMeter, Appium, Gradle, Maven, Robot Framework y Rational Performance Tester. - Capacidad para gestionar riesgos de calidad, automatización, métricas y analítica de datos aplicada a QA. Competencies - Liderazgo de equipos. - Comunicación asertiva. - Negociación efectiva. - Aprendizaje y adaptación rápida. - Orientación a resultados. - Autodesarrollo. - Transferencia de conocimiento. - Innovación y mejora continua.

Role Description The QA Automation Engineer is responsible for leading and accelerating automated testing initiatives for an innovative platform within the veterinary sector. The platform integrates and standardizes clinical data from multiple management systems, enabling advanced capabilities such as automated medical condition prediction using Machine Learning and LLM technologies, as well as automated insurance claim processing. This role focuses on designing, implementing, and scaling automation frameworks that validate backend APIs, frontend workflows, and end-to-end business processes. As part of an AI-first engineering team, the QA Automation Engineer will leverage modern testing practices and AI-assisted development tools to shorten feedback cycles, improve test coverage, and ensure high-quality software delivery. Success in this role means enabling faster development cycles through reliable automation, proactive quality practices, and efficient AI-enhanced testing workflows. Qualifications - Proven experience as a QA Automation Engineer with strong experience testing backend APIs and web applications. - Hands-on experience designing and maintaining automated test suites using Playwright. - Strong knowledge of automation frameworks and testing best practices. - Experience with programming or scripting languages such as JavaScript, TypeScript, or Python. - Experience testing RESTful APIs and validating backend services. - Understanding of relational databases, particularly PostgreSQL, for data validation and troubleshooting. - Experience integrating automated tests into CI/CD pipelines. - Experience using AI-assisted development tools and LLM-based workflows for testing automation. - Strong analytical and problem-solving skills with attention to detail. - Ability to work independently, identify quality risks, and implement solutions proactively. - Ability to thrive in fast-paced environments with tight delivery timelines. - Advanced English level with strong communication skills for remote collaboration. Requirements - Experience testing AI-powered applications or Machine Learning workflows. - Familiarity with API automation frameworks and testing tools beyond Playwright. - Experience with test automation architecture design and framework development. - Knowledge of cloud environments, DevOps practices, and observability tools. - Experience working with complex data platforms or healthcare-related systems. - Familiarity with AI agents, LLM evaluation, or AI-assisted QA practices. - Strong interest in AI-first engineering methodologies and productivity optimization. Benefits - Competitive compensation and benefits package. - Opportunities for growth and professional development. - Comprehensive leave policies, including PTO, sick leave, and study leave. - Access to employee discount programs. - Monthly connectivity allowance.

• Allocate dedicated capacity to agent builds — contributing directly to the development of AI agents that support our security programs, including certifications, risk, and compliance. • Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination patterns. • Partner with team members to translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity. • Architect and implement MCP pattern integrations that enable security agents to interact with data systems, tools, and APIs in a structured, scalable way. • Own the design, deployment, and maintenance of ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into our data lakehouse and downstream agent consumers. • Ensure data security, privacy, and governance are implemented across all pipelines and agent-accessible data surfaces. • Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads. • Mentor other engineers on data engineering, MCP patterns, and agent-native design principles.

Title: Quality Assurance (QA) Engineer Remote Engineering Full time Orlando, Florida, United States Atlanta, Georgia, United States Tampa, Florida, United States Miami, Florida, United States Job Description: Worth AI is looking for a detail-oriented QA Engineer (Manual and Automation) to join our innovative team. As a QA Engineer, you will be responsible for ensuring the highest quality of our software products through rigorous testing and validation processes. Your role will be pivotal in maintaining our commitment to excellence as we develop advanced AI solutions that empower businesses to make equitable decisions. In this role, you will work closely with cross-functional teams, collaborating with developers, product managers, and other stakeholders to ensure our software meets the highest standards of reliability and performance. Your insights and expertise will help us enhance our products, contributing to a more inclusive and diverse business environment. Responsibilities - Build and execute comprehensive test plans and detailed test cases - both manual and automated - to validate feature functionality and system reliability. - Design and implement end-to-end UI and API integration tests using our proprietary testing framework, ensuring seamless interoperability across the front-end and back-end layers. - Develop, maintain, and enhance automated test suites, leveraging tools and frameworks to catch regressions and accelerate release cycles. - Collaborate closely with product and engineering teams to dissect requirements, review designs, and ensure testability from the earliest stages. - Triage, document, and track all defects - providing clear reproduction steps, impact assessments, and suggested remediation strategies. - Present concise test reports and risk analyses to stakeholders, highlighting critical issues and recommending prioritization. - Engage actively in sprint ceremonies (planning, stand-ups, demos, retrospectives) to champion quality every step of the way. - Conduct thorough regression and integration testing after each code change to verify fixes and prevent unintended side effects. - Keep QA deliverables - test plans, cases, scripts, and results - organized, versioned, and easily accessible for audits and knowledge sharing. - Continuously research and adopt emerging QA best practices, tools, and methodologies to enhance our testing capabilities and efficiency. Requirements - Experience: Minimum 5 years in Quality Engineering, with 3+ years in test automation. - Testing Methodologies & Processes: Deep understanding of SDLC and Agile/Scrum. Able to define test strategy, design test plans/cases, and track coverage/metrics. - Automated Testing: Proficient with Playwright, Jest, Pact. Experience integrating test suites into CI/CD (e.g., Jenkins, GitHub Actions, Azure DevOps). - Scripting & Programming: Proficient in TypeScript/JavaScript, Python is a plus. - API & Backend Testing: Solid experience with RESTful/gRPC API testing, including service virtualization/mocking. Expert in PostgreSQL and SQL testing (complex queries for data integrity). - Performance Testing: Working knowledge of JMeter, Gatling, or Locust for benchmarking and stress analysis. - Cloud & DevOps: Working knowledge of AWS. Comfortable validating containerized environments (Docker, Kubernetes). - CI/CD & DevOps Practices: Familiar with building, deploying, and automating test runs in CI pipelines; troubleshooting flaky tests and pipeline failures. - Test Management & Defect Tracking: Skilled with JIRA, TestRail, Zephyr, or similar. - Soft Skills: Excellent analytical and problem-solving skills, meticulous attention to detail. Strong verbal and written communication. Collaborative mindset. - Preferred: Prior experience in AI, FinTech, or Payments. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance - Flexible Paid Time Off - 9 paid Holidays - Family Leave - Remote - Hybrid work (for Orlando Associates) - Free Food & Snacks (Orlando) - Wellness Resources