Staff Engineer (Quality Engineering)

Join our AI Platform team as a Staff Quality Engineer and play a key role in our transition to an AI-First Operating Model. You will be responsible for architecting quality standards, defining testing strategies, and driving a culture of quality within the team. Your expertise in programming languages, test automation frameworks, and cloud platforms will be essential in ensuring the robustness and scalability of our engineering workflows.

• Architecting the quality standards that underpin the next generation of market intelligence, defining how to build, test, and operate in an AI-centric ecosystem.
• Leading quality initiatives that ensure engineering workflows are robust, scalable, and AI-boosted, and establishing "AI-First" as the standard operating procedure.
• Defining and driving the long-term testing strategy and quality culture for the AI Platform, emphasizing "Quality by Design" and "Automation by Default."
• Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java
• Experience with any UI test automation framework
• Great experience with Test Management Systems (e.g., Allure TestOps)
• Proficiency in testing methodologies and deep understanding of the QA domain and theory
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)
• Excellent test design skills and experience in API testing
• Strong communication skills and ability to collaborate with stakeholders
• Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes
• Strong understanding of continuous delivery
• Good understanding of GraphQL
• Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions
• Experience in setting up and configuring CI/CD tools and pipelines
• Experience with AI/ML model evaluation and test data management for non-deterministic systems
• BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology