Lead Consultant – Quality Engineering

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Utilize expertise in Quality Engineering and testing domains (Automation, Performance, Data Quality, AI, White Box, Black Box) to guide and define test planning.

• Ensure high-quality outcomes by executing both manual and automated testing, achieving comprehensive coverage across functional, system, data, and AI components.

• Spearhead the creation and execution of detailed test strategies, quality processes, and documentation for designated projects.

• Keep precise records of results, test cases, and provide constructive feedback to the project team.

• Guarantee that all QE deliverables adhere to quality standards, aligning with project goals and organizational best practices.

• Oversee the defect triage process.

• Create and validate test data, data pipelines, and infrastructure from both functional and systemic viewpoints.

• Assess and test machine learning models, focusing on LLM behavior, prompt robustness, model outputs, and performance metrics.

• Guide junior team members, advocate for QE best practices, and contribute to ongoing improvement initiatives within the Quality Engineering discipline.

⛳️ Requirements

• Bachelor’s degree in computer science or a closely related field.

• Extensive background 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 similar languages.

• Practical experience in testing data pipelines, ETL workflows, and analytics platforms (preferably Databricks or Fabric).

• Knowledge of machine learning principles, model evaluation metrics, and AI system behavior.

• Capability to evaluate 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 capacity to collaborate cross-functionally and influence engineering teams.

• Enthusiasm for innovation, continuous learning, and keeping abreast of emerging QE and AI technologies.

• Relevant certifications (such as Azure, Microsoft, Agile, etc.) are a plus.

• Experience with cloud platforms, particularly Azure, is preferred.

🏝️ Benefits

• Competitive compensation package, including salary, allowances, standard benefits, and performance-based cash bonuses awarded quarterly and annually.

• Positive work environment and company culture with flexible work location options.