203 qa English-speaking jobs in Porto District

improvements (latency, throughput, error budgets); Collaborate cross-functionally with Backend, DevOps, QA

Familiarity with QA practices, testing frameworks, and CI/CD pipelines.

Experience Minimum 5 years of experience in ERP testing or QA leadership, ideally with IFS Applications

Demonstrated strength in cross-departmental collaboration, working effectively with development, QA,

Engineers: You'll work with QA testers to identify and fix bugs, ensuring software functionality ... needs, translate them into technical requirements, and ensure the final product meets expectations; QA

automation, and tuning instrumentation, with a mission to improve collaboration between Development, QA

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness

team of data professionals including data engineers, data scientists, data governance analysts, data QA

high‑quality, scalable, and testable code Collaborate with cross‑functional teams (backend, UX/UI, QA

to work effectively in an agile, cross‑functional environment, collaborating with other developers, QA

Collaborate with engineering, QA, design and regulatory teams to deliver high‑quality, compliant software

to meet global market demand; Collaborate closely with multidisciplinary teams (Product, Frontend, QA

Participate in code reviews, testing, and QA cycles. Ensure clean, modular, and scalable code.

Application deployment and configuration of architecture in Azure environment (Dev, QA and Prod) Knowledge

Responsibilities Oversee SDLC processes, managing teams and coordinating BA/QA/Dev/Production support

team of data professionals including data engineers, data scientists, data governance analysts, data QA

relevant certifications (e.g., ISTQB) are a plus Proven experience as a Quality Engineer or similar QA

What we are looking for: · +4 years of experience as a Performance QA; · Advanced level of English (B2

QA and Security Oversight: Maintain the integrity of Reporting infrastructures and models, ensuring top-notch

continuous improvement of performance and reliability of data platforms Work closely with DevOps and QA