
Senior Consultant – Quality Engineering
Posted Jun 3

Posted Jun 3
This is a fully remote position, open to applicants in Philippines.
• Utilize expertise in Quality Engineering and various testing domains (Automation, Performance, Data Quality, AI, White Box, Black Box) to formulate and provide guidance on test planning.
• Ensure high-quality outcomes by conducting both manual and automated testing, guaranteeing comprehensive coverage across functional, system, data, and AI components.
• Support or Lead the creation and execution of thorough test strategies, quality processes, and documentation for the assigned project.
• Keep precise records of results, test cases, and provide feedback to the project team.
• Ensure that all QE deliverables align with quality standards, project objectives, and organizational best practices.
• Actively participate in or lead the defect triage process.
• Create and validate test data, data pipelines, and infrastructure from both functional and system viewpoints.
• Assess and test machine learning models, encompassing LLM behavior, prompt robustness, model outputs, and performance metrics.
• Guide junior team members, advocate for QE best practices, and engage in continuous improvement initiatives within the Quality Engineering domain.
• Bachelor's degree in computer science or a closely related field.
• Substantial experience in QA methodologies, test planning, automation, and quality engineering practices.
• Strong expertise in automation tools such as Selenium, Playwright, or similar frameworks.
• Proficient programming skills in Python, C#, Java, or equivalent languages.
• Practical experience in testing data pipelines, ETL workflows, and analytics platforms (preferably Databricks, Fabric).
• Familiarity with machine learning principles, model evaluation metrics, and AI system behavior.
• Capability to test LLM behavior, prompts, and AI model outputs.
• Proficient in executing comprehensive test plans for AI models and systems.
• Outstanding analytical, problem-solving, communication, and presentation abilities.
• Proven track record of collaborating cross-functionally and influencing engineering teams.
• Enthusiasm for innovation, continuous learning, and staying updated with emerging QE and AI technologies.
• Relevant certifications (Azure, Microsoft, Agile, etc.) are advantageous.
• Experience with cloud platforms, particularly Azure, is preferred.
• Competitive compensation package, including salary, allowances, standard benefits, quarterly and annual performance-based cash bonuses, and other forms of remuneration.
• Excellent working environment and company culture with flexible work location.
Auditdata
Tether.to
Montreal Oficial
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