Lead Qa Engineer – Ai/ml Em Cachoeirinha (pe)

Smart IT Frame LLC; Pernambuco; Presencial; BRL 167 400 - 279 000; Tempo integral

Resumo da oferta

A Smart IT Frame LLC está buscando um Lead QA Engineer para liderar a estratégia de qualidade com ênfase em automação e inteligência artificial. Este papel combina liderança, expertise técnica e inovação para garantir software de alta qualidade. O profissional ideal terá experiência em testes automatizados e manuais, com conhecimentos em frameworks como Selenium e Playwright, além de habilidades em programação. A posição é remota, com oportunidades de trabalho em equipe e foco na qualidade.

Qualificações

• Experiência em metodologias de teste automático e manual.
• Capacidade de projetar e executar planos de teste manuais detalhados.
• Entendimento profundo de técnicas de teste blackbox.
• Experiência com ferramentas de CI/CD.
• Proficiente em pelo menos uma linguagem de programação.

Responsabilidades

• Definir e implementar a estratégia de QA focada em automação e IA.
• Liderar e orientar uma equipe de engenheiros de QA.
• Projetar e manter frameworks de teste automatizado.
• Trabalhar com equipes de engenharia e produto para embedar qualidade.
• Promover uma cultura de propriedade da qualidade.

Conhecimentos

Liderança e desenvolvimento de equipe

Pensamento estratégico e resolução de problemas

Comunicação e colaboração

Mentalidade inovadora com paixão por IA em testes

Habilidades analíticas

Teste manual para compreensão do comportamento do usuário

Ferramentas

Selenium

Playwright

Cypress

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

JMeter

k6

Descrição da oferta de emprego

Cargo:

Lead QA Engineer – AI/ML em Cachoeirinha (PE) – Cachoeirinha

Overview:

We are seeking a highly skilled, forward‑thinking Lead QA Engineer to drive our quality strategy, with a strong emphasis on test automation and AI‑driven testing solutions. This role combines leadership, technical expertise, and innovation to deliver high‑quality software at scale.

Job Title: Lead QA Engineer – AI/ML

Location: Remote (Brazil/Mexico)

Key Responsibilities:

Leadership & Strategy

• Define and implement the QA strategy with a focus on automation‑first and AI‑enhanced testing.
• Lead and mentor a team of QA engineers across both manual and automation disciplines.
• Establish best practices, standards, and KPIs for quality engineering.

Automation Excellence

• Design, build, and maintain scalable automated test frameworks.
• Drive adoption of CI/CD‑integrated testing pipelines.
• Ensure high test coverage across UI, API, performance, and security layers.

AI‑Driven Testing

• Evaluate and implement AI/ML tools for test generation, maintenance, and defect prediction.
• Leverage AI for intelligent test case prioritization and self‑healing test scripts.
• Stay up to date with emerging AI technologies and integrate them into QA workflows.

Manual & Blackbox Testing Leadership

• Define and oversee comprehensive blackbox testing strategies, including exploratory, usability, regression, and end‑to‑end testing.
• Ensure thorough validation of business requirements and user flows without reliance on internal code knowledge.
• Lead complex manual testing efforts for new features, edge cases, and high‑risk areas.
• Establish best practices for test case design, test data management, and defect reporting.

Collaboration

• Work closely with engineering, product, and DevOps teams to embed quality throughout the SDLC.
• Participate in architecture and design discussions to ensure testability and scalability.

Quality Advocacy

• Promote a culture of quality ownership across teams.
• Conduct risk assessments and ensure timely defect resolution.

Required Qualifications:

• Strong expertise in both automated and manual (blackbox) testing methodologies.
• Proven experience designing and executing detailed manual test plans, exploratory testing, and end‑to‑end validation.
• Deep understanding of blackbox testing techniques such as equivalence partitioning, boundary value analysis, and user‑centric validation.
• Strong expertise in test automation frameworks: Selenium, Playwright, Cypress.
• Proficiency in at least one programming language: Python, Java, JavaScript/TypeScript (preferably).
• Experience with CI/CD tools: Jenkins, GitHub Actions, GitLab CI.
• Solid understanding of software testing methodologies and the SDLC.

Preferred Qualifications:

• Hands‑on experience with AI/ML tools in QA (e.g., test generation, visual testing, anomaly detection).
• Familiarity with AI‑powered testing platforms or frameworks.
• Experience balancing manual exploratory testing with automation strategies in complex systems.
• Experience with performance testing tools: JMeter, k6.
• Knowledge of cloud platforms: AWS, GCP, Azure.
• Experience with containerization: Docker, Kubernetes.

Key Skills:

• Leadership and team development.
• Strategic thinking and problem‑solving.
• Strong communication and collaboration.
• Innovation mindset with a passion for AI in testing.
• Strong analytical skills with attention to detail.
• Ability to deeply understand user behavior through manual testing approaches.

Salário:

A Combinar

Benefícios:

Não informado