Senior Quality Engineer (Findata)

Join our team as a Senior Quality Engineer, where you will lead quality initiatives for our FinData portfolio. You will define and drive the long-term testing strategy and quality culture for the AI Platform, ensuring data-driven, measurable, and self-sustaining quality outcomes. You will also coach and mentor engineers on sustainable, scalable quality practices. This is a high-impact role that requires a strong understanding of continuous delivery, excellent test design skills, and experience with cloud platforms and containerization technologies.

• Architect the quality standards for the next generation of market intelligence, defining how to build, test, and operate in an AI-centric ecosystem.
• Lead quality initiatives to ensure robust, scalable, and AI-boosted engineering workflows, covering complex data pipelines and AI model validation.
• Define and drive the long-term testing strategy and quality culture for the AI Platform, emphasizing "Quality by Design" and "Automation by Default."
• Experience with UI test automation frameworks (e.g., Playwright)
• Strong understanding of continuous delivery
• Excellent test design skills and experience in API testing
• Strong communication skills and ability to collaborate with stakeholders across multiple portfolios
• Demonstrated ability to operate and set direction autonomously, without a dedicated QE team or manager in place
• Proficiency in testing methodologies and deep understanding of the QA domain and theory
• Experience with Test Management Systems (e.g., Allure TestOps)
• Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)
• Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes
• Experience coaching engineering teams on quality-by-design and shift-left practices, influencing without direct authority
• Experience in setting up and configuring CI/CD tools and pipelines
• Good understanding of GraphQL
• Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions
• Financial data domain knowledge
• Experience testing backend/data pipeline
• BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology