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23 days ago
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Important information
Contract type:
Freelance
Salary / Daily rate:
230
This job is at 0% commission 🎉Location:
Porto, Portugal
Starting date:
Urgent
Work mode:
Hybrid
Published on:
26 February 2026
What they need
Our QA Integration Team is responsible for identifying and resolving compatibility issues, communication errors, and data corruption to ensure smooth and reliable software integration. The team is central to reducing risk by catching defects early, validating interface behaviors against design specifications, and maintaining the integrity of existing systems through automated regression testing.
We are looking for a QA Engineer with a strong background in integration testing and a genuine interest in leveraging AI technologies to improve testing processes.
The role combines traditional QA responsibilities with AI-driven approaches to test automation, defect detection, and failure prediction, operating within a banking or brokerage environment.
----------------------------------------- HYBRID: 4x/week - PORTUGAL
Experience Required
Minimum 3 years of experience testing backend or middleware applications
Experience in banking or brokerage systems strongly preferred
Hands-on experience with AI testing tools (automated test generation, anomaly detection)
Proven track record in root cause analysis - log analysis, diagnostic tools, collaboration with dev teams
Experience working in Linux environments (shell commands, scripting, process management, troubleshooting)
----------------------------------------- HYBRID: 4x/week - PORTUGAL
Goals and deliverables
Design and execute comprehensive integration test plans, including automated testing strategies
Use AI tools to automate test case generation, defect detection, and regression testing
Collaborate with development teams and stakeholders to identify and resolve integration issues, incorporating AI-driven insights where relevant
Validate AI components within trading platforms and apply machine learning models to predict failures and optimise testing coverage
Identify, document, and track defects; verify fixes through systematic regression testing
Produce detailed testing reports, metrics, risk assessments, and AI-driven insights
Drive continuous improvement of testing processes and mentor junior QA engineers
Promote AI-powered testing practices and share knowledge across teams
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