Senior Quality Engineer (Findata)

Role Overview

Senior Quality Engineer for the Findata (FinData) portfolio, responsible for leading quality initiatives across the AI Platform. The role defines the long-term testing strategy and quality culture, with an emphasis on Quality by Design and Automation by Default.

Key Missions

• Architect quality standards for the next generation market intelligence platform, defining how to build, test, and operate in an AI-centric ecosystem.
• Lead quality initiatives for robust, scalable, AI-boosted engineering workflows, including complex data pipelines and AI model validation.
• Define and drive long-term testing strategy and quality culture for the AI Platform.
• Coach and mentor engineers on sustainable, scalable quality practices (including influence without direct authority).

Responsibilities

• Set direction autonomously and establish quality practices even without a dedicated QE manager/team.
• Establish testing methodologies and domain QA theory, driving data-informed, measurable quality outcomes.
• Collaborate with stakeholders across multiple portfolios.

Requirements

• UI test automation experience with frameworks such as Playwright.
• Strong test design skills and API testing experience.
• Solid understanding of continuous delivery.
• Proficiency with Test Management Systems (e.g., Allure TestOps).
• Deep knowledge in at least one: Kotlin, Python, JavaScript, or Java.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (e.g., Kubernetes).
• Fluency with AI tools and experience enabling AI tools to accelerate delivery.
• Experience coaching teams on Quality-by-Design and shift-left practices.
• Experience setting up and configuring CI/CD tools and pipelines.
• Good understanding of GraphQL.
• Expertise in Performance Engineering (e.g., k6) and Observability (e.g., OpenTelemetry/Grafana).
• Financial data domain knowledge.
• Experience testing backend/data pipelines.

Nice-to-Haves

• Strong background in AI model validation and AI-centric engineering ecosystems.
• BS/MS in a relevant technical discipline (Computer Science, Engineering, or Information Technology).