Senior Consultant – Quality Engineering

🕒 May 29

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3Cloud

WebsiteLinkedInAll Job Openings

501 - 1000 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

3Cloud is a leading Azure partner and Microsoft innovator, specializing in generative AI services for enterprise organizations. The company offers expertise in data analytics, AI, DevOps, cloud app development, and cloud infrastructure management, focusing entirely on Microsoft Azure to help businesses transform and optimize their performance. 3Cloud positions itself as a trusted copilot in the AI journey, aiming to enhance business performance through innovative solutions and strategic alignment of AI projects with business objectives. They cater to a range of industries including healthcare, financial services, manufacturing, and retail, providing managed services and ongoing support to enable and scale positive impacts of AI.

📋 Description

• Apply knowledge of Quality Engineering and testing areas (Automation, Performance, Data quality, AI, While box, Blackbox) to define and advise in test planning. • Drive high‑quality delivery by performing both manual and automated testing, ensuring full coverage across functional, system, data, and AI components. • Assist or Lead the design and implementation of comprehensive test strategies, quality processes, and documentation for assigned project. • Maintain accurate record results, test cases, and share feedback to the project team. • Ensure all QE deliverables meet quality standards, aligning with project objectives and organizational best practices. • Actively assist or lead defect triage process. • Develop and validate test data, data pipelines, and infrastructure from both functional and system perspectives. • Evaluate and test machine learning models, including LLM behavior, prompt robustness, model outputs, and performance metrics. • Mentor junior team members, promote QE best practices, and contribute to continuous improvement initiatives across the Quality engineering practice.

🎯 Requirements

• Bachelor’s degree in computer science, or a closely related discipline. • Solid experience in QA methodologies, test planning, automation, and quality engineering practices. • Strong proficiency in automation tools such as Selenium, Playwright, or equivalent frameworks. • Solid programming skills in Python, C#, Java, or similar languages. • Hands-on experience testing data pipelines, ETL workflows, and analytics platforms (Databricks, Fabric preferred). • Understanding of machine learning principles, model evaluation metrics and AI system behavior. • Ability to test LLM behavior, prompts, and AI model outputs. • Ability to execute comprehensive test plans for AI models and systems. • Excellent analytical, problem-solving, communication, and presentation skills. • Demonstrated ability to work cross-functionally and influence engineering teams. • Passion for innovation, continuous learning, and staying current with emerging QE and AI technologies. • Relevant certifications (Azure, Microsoft, Agile, etc.) are a plus. • Experience with cloud platforms, especially Azure, is preferred.

🏖️ Benefits

• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration. • Great working environment and company culture with flexible work location.