Join Optum, a global leader dedicated to improving health outcomes through innovative technology. We are seeking a Senior Quality Engineering Lead to drive excellence in our full-stack applications, APIs, data pipelines, and analytics platforms. You will play a crucial role in ensuring the reliability, security, and performance of our cutting-edge health optimization solutions. Our inclusive culture fosters collaboration, continuous learning, and career development.

At Optum, we are committed to making healthcare more accessible and effective for everyone. Your work will directly contribute to our mission of helping people live healthier lives and building a better health system for all. Be a part of a team that cares, connects, and grows together.

Design and implement comprehensive manual and automated testing strategies across all application layers, including APIs and data platforms. Validate NLP/GenAI functionalities, focusing on query interpretation, response accuracy, and relevance. Develop and maintain robust test automation frameworks for UI, API, integration, and end-to-end scenarios. Conduct thorough database testing on platforms like Snowflake, ensuring data integrity and transformation accuracy. Lead performance, scalability, and load testing initiatives to guarantee platform stability under peak loads. Partner with engineering teams on security testing, vulnerability assessment, and risk remediation.

Collaborate proactively with developers, data engineers, product owners, and architects to integrate quality throughout the Software Development Life Cycle (SDLC). Provide support for critical audit, compliance, and validation activities within the healthcare sector. Establish key quality metrics, streamline test reporting processes, and champion continuous improvement practices.

A minimum of 10 years of experience in Quality Engineering, Software Testing, or Test Automation is required. Demonstrated experience testing AI/ML or NLP-driven applications, including the validation of prompts, queries, and business outcomes is essential. Proficiency in performance, load, and stress testing tools and methodologies is crucial. Solid expertise in test automation, API testing, and end-to-end testing frameworks is expected.

Strong knowledge of SQL, database testing, and data validation techniques is mandatory. Proven analytical, troubleshooting, and root-cause analysis skills are critical for this role. Experience with security testing, vulnerability assessment, and secure SDLC practices is highly valued. Preferred qualifications include experience with Snowflake, DBT, modern cloud data platforms, REST APIs, microservices, and healthcare domain knowledge in regulated environments.