Asst Dir-QA Engineer - Montbonnot Saint Martin, France - Moody's

Description

Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply You may be a perfect fit for this role or other open roles.

Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at

Our team includes various diverse activities: development, quality assurance, performance analysis and improvement, DevOps, product management, customer support, DBA, among others. It maintains a highly dynamic activity between legacy services installed in a broad part of the market, and the new generation set of services that are being adopted.

Because of the diversity of activities in the team, we are currently looking for a multi-skilled Senior Quality engineer, ready to develop new services and participate in the DevOps activity. The team creates and develops new services for the banking market on a cloud platform. This implies strong capacities of automation, a zen attitude jumping from QA to a DevOps activity or taking the lead for the development of a new service.

Responsibilities:

• Quality Assurance: Implement quality assurance process. Research, design and build efficient automation/performance frameworks, including test tools and automated test suites that govern whole development cycle for any of our product and services platforms, based on different Web, Services/APIs and database technologies.
  Design and develop testing strategy based upon project requirements, lead in test cases creation and execution, analyse and report test results to stakeholders.
• Technical Leadership: Provide technical guidance and leadership into a product creation initiative, ensuring high-quality code, adherence to best practices, and timely delivery of projects.
• Apply in your daily work, that pointing a problem is good and proposing a solution is better; that talking is good, and doing is better.
• Development: Design, develop, and maintain software services with team(s) members using C#, Javascript, Java EE, Spring boot, React UI/UX, .NET framework, Python and related technologies.
• Windows and Linux on top of AWS machines management and network security access management; as well as various scripting languages on these OSs.
• Research and Innovation: Stay up-to-date with emerging technologies, industry trends, and best practices.
• Team Collaboration: Work closely with team members and cross-functional teams, to ensure seamless coordination and collaboration throughout the product lifecycle.
• Problem Solving: Troubleshoot complex technical issues, mainly coming from real customer deployments. Identify root causes, and propose effective solutions in a timely manner, be agile while doing Agile.
• Documentation and Knowledge Sharing: Create technical documentation, share knowledge and best practices with team members, and contribute to the organization's knowledge base.
• Design, develop, test, and support new micro-service applications; that scale predictably, promote maintainability and extensibility.
• Development knowledge on DBs with .NET (C#), Java, SQL (e.g., Oracle, SQL Server) and NoSQL (e.g.: MongoDB).
• Repository and dependencies management, like Git and Maven.
• Excellent communication skills. You will need to drive a change by just communicating and demonstrating.
• Knowledge of using/setting up automated CI/CD pipelines (e.g.: Ansible, Jenkins, Docker, etc.), as well as experience with configuration and build tools.
• Experience with using React and also have the capability to write unit tests (e.g.: React-Testing Library).
• Practical application of AI, ML, RAG techniques to optimize and enhance documentation capacities, data generation, code generation, test automation, support capacities (e.g.: ChatBot). Apply knowledge of AI, ML, LLMs to practical business problems. For these, develop Python code and interfaces (APIs and services).
• A keen interest and understanding of financial markets and instruments. Relevant mathematical knowledge e.g. statistics, optimisation algorithms.
• Be team player.
• Be Pride in engineering excellence and instils these values in others.
• Analytic approach to problem solving and solution proposal.
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Excellent interpersonal skills
• Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.