Lead Qa Engineer – Ai/ml Em Vila Velha (pe)

Smart IT Frame LLC; Pernambuco; Presencial; BRL 348 258 - 547 263; Tempo integral

Resumo da oferta

Smart IT Frame LLC is seeking a highly skilled Lead QA Engineer to drive quality strategy with emphasis on test automation and AI testing. This role involves leading QA initiatives, mentoring engineers, and applying innovative approaches to software quality. Candidates should have strong expertise in automated/manual testing, test frameworks like Selenium, Playwright, and CI/CD tools. The position offers the flexibility of remote work from Brazil or Mexico and aims to integrate AI technologies into QA workflows.

Qualificações

• Strong expertise in both automated and manual (blackbox) testing methodologies.
• Proven experience in designing and executing detailed manual test plans and exploratory testing.
• Deep understanding of blackbox testing techniques.
• Strong expertise in test automation frameworks like Selenium, Playwright, and Cypress.
• Proficiency in Python, Java, or JavaScript/TypeScript.
• Experience with CI/CD tools like Jenkins and GitHub Actions.
• Solid understanding of software testing methodologies and SDLC.

Responsabilidades

• Define and implement the QA strategy with a focus on automation and AI.
• Lead and mentor a team of QA engineers.
• Design and maintain scalable automated test frameworks.
• Evaluate and implement AI/ML tools for testing.
• Define blackbox testing strategies including exploratory testing.

Conhecimentos

Leadership and team development

Strategic thinking

Strong communication

AI in testing

Analytical skills

Understanding user behavior

Ferramentas

Selenium

Playwright

Cypress

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

JMeter

k6

Descrição da oferta de emprego

Position

Lead QA Engineer – AI/ML (Remote – Brazil/Mexico)

About the Company

Smart IT Frame connects top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

Role Overview

We are seeking a highly skilled, forward‑thinking Lead QA Engineer to drive our quality strategy, with emphasis on test automation and AI‑driven testing solutions. This role combines leadership, technical expertise, and innovation to deliver high‑quality software at scale. You will lead QA initiatives, mentor a team of engineers, and champion modern approaches to quality engineering, including machine learning and AI‑assisted testing—while maintaining deep expertise in manual and blackbox testing practices.

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, 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, 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, end‑to‑end validation.
• Deep understanding of blackbox testing techniques: equivalence partitioning, boundary value analysis, 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 SDLC.

Preferred Qualifications

• Hands‑on experience with AI/ML tools in QA (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 passion for AI in testing.
• Strong analytical skills with attention to detail.
• Ability to deeply understand user behavior through manual testing approaches.

Salary

A Combinar

Benefits

Não informado