Asst Dir-QA Engineer v Praha, Česko

Skills and Competencies

• 6+ years of experience in quality assurance and test automation, including a leading technical role in test strategy and automation for an application, product area, or complex set of features
• Proven experience designing, building, and scaling automation frameworks using Playwright, Selenium, Cypress, or similar technologies, with Playwright strongly preferred
• Advanced Playwright expertise, including custom fixtures, page object and component models, locator strategy, parallel execution, retries and flake management, and multi-environment configuration
• Strong programming skills in at least one language used for automation (TypeScript/JavaScript, Python, Java, or C#), with experience building reusable libraries and utilities used by other engineers
• Hands-on experience running automation in containerized environments (Docker) and integrating suites into CI/CD pipelines, including reporting and quality gates
• Strong knowledge of functional, integration, API, database, and performance testing, with experience validating data-intensive financial or enterprise applications
• Experience defining and reporting quality metrics (such as coverage, flakiness, escape rate, and cycle time) and using them to inform engineering decisions
• Strong communication skills, with the ability to represent quality in design reviews and release decisions and to influence engineers and product managers across teams
• Solid working proficiency in artificial intelligence, with a track record of applying AI tools to test design, test data generation, debugging, and automation maintenance, and of guiding peers on effective use. Working knowledge of AI risk management and a commitment to responsible and ethical AI use, including validating AI-generated artifacts before adoption.

Education

• Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, or a related field, or equivalent practical experience

Responsibilities

• Senior QA role taking a leading technical position in test strategy and automation for an Asset Management application, product area, or set of features. Acts as a technical reference for quality in that scope and contributes to the broader QA strategy and automation roadmap
• Drive the end-to-end test strategy within scope, covering functional, integration, API, database, performance, and cross-environment testing, and support release readiness decisions with clear quality evidence
• Design, build, and evolve the automation framework and shared testing libraries used by QA engineers in scope, contributing to coding standards, review practices, and flake and maintenance policies
• Design parallel and multi-threaded test execution in containerized environments to reduce feedback time and scale coverage as the product grows
• Integrate automated suites into continuous integration and continuous delivery pipelines, including quality gates, test selection, and reporting, and support release practices such as canary releases and production verification
• Define and report quality metrics within scope and translate them into recommendations on risk, priorities, and testability improvements for engineering and product leadership
• Lead root-cause analysis of complex, cross-component, or data-integrity defects and drive the resulting fixes and preventive measures with the relevant teams
• Represent quality in architecture and design reviews, influencing testability, observability, and non-functional requirements early in the lifecycle
• Contribute hands-on expertise and proposals to the broader QA strategy and automation roadmap in partnership with QA and engineering leadership
• Champion the effective use of AI-assisted tooling in test development, maintenance, and debugging, including good practice for validating AI-generated tests and data before adoption

About the Team

You’ll be joining a global, cross-functional team within Moody’s Analytics Asset Management business that develops software, advanced analytics, and data-driven solutions supporting investment decision-making across global financial markets. The team brings together engineers, analytics and data specialists, and financial technology experts across multiple regions, and continuously explores emerging technologies, including artificial intelligence, to improve products and delivery. In this role you will work alongside senior QA and engineering leaders and have direct influence on how quality is engineered into platforms used by leading organizations worldwide.