Lead Consultant - Quality Engineering

A 3Cloud Lead Quality Engineer is responsible for performing and leading testing activities for assigned clients. This includes standards testing tasks, maintaining traceability, defect management, test plan development and reporting. This lead quality engineer role is technical and client facing role. The ideal candidate will have experience in client-facing roles and have success supporting technical discussions with clients. Successful candidates will be able to demonstrate proficiency with the design, implementation, support of technical QE solutions. This position will lead projects or works with QE Architect to ensure set QE guidelines and standards are followed by the program team and client expectations are met.

Job Highlights

• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places.
• 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.

Key Responsibilities

• 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.
• 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.
• 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.

Qualifications

• Bachelor’s degree in computer science, or a closely related discipline.
• Extensive 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.