Moody's
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You still may be a great fit for this role or other open roles.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
3-5 years of experience developing backend applications and REST APIs using Python frameworks such as FastAPI, Flask, or Django, with exposure to cloud-based data engineering desired
Strong proficiency in Python and SQL, with working knowledge of PySpark and experience designing normalized relational data models and optimized SQL queries
Good understanding of object-oriented programming, data structures, design patterns, and secure coding principles, including OWASP guidelines
Working knowledge of cloud platforms, preferably Microsoft Azure and Microsoft Fabric, including cloud-based data engineering concepts
Experience building Agentic AI workflows is preferred, with an interest in frameworks and services such as LangChain, Copilot Studio, and Microsoft AI services
Experience with Git, continuous integration and continuous delivery pipelines, and authentication and authorization concepts including OAuth 2.0, role-based access control, and preferably Microsoft Entra ID
Strong analytical, problem-solving, debugging, and communication skills, with a curious and self-learning mindset and the ability to collaborate effectively and understand business objectives
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
Design and deliver scalable backend, data, and AI-powered solutions that support enterprise technology and business needs.
Design, develop, and maintain scalable enterprise applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django
Develop and integrate APIs that enable communication between applications, data platforms, AI services, and enterprise systems
Implement secure authentication, authorization, and role-based access controls using Microsoft Entra ID, OAuth 2.0, and relevant Azure security capabilities
Develop, maintain, and optimize data pipelines and cloud solutions on Microsoft Azure and Microsoft Fabric, including Fabric Lakehouse, Data Pipelines, Dataflows Gen2, and OneLake
Design and develop AI agent workflows and AI-powered solutions using technologies such as LangChain, Copilot Studio, and Microsoft AI frameworks to address business challenges
Write clean, maintainable, secure, and well-documented code in Python, PySpark, and SQL, participate in code reviews, and contribute to continuous integration and continuous delivery processes and GitHub repositories
Collaborate with business and technical stakeholders to translate requirements into technical designs, reusable components, and software, data, and AI solutions
Troubleshoot applications, data pipelines, and AI workflows, implement reliable solutions, and support mentorship and knowledge sharing around Agentic AI and data engineering best practices
The Corporate Systems team, part of the Technology Services Group, supports Moody’s core business and technology operations by enabling reliable day-to-day execution, strong coordination, and effective governance across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders across the enterprise to drive operational excellence while advancing innovation, including the adoption and enablement of AI-driven capabilities. By bringing structure, clarity, and rigor to complex environments, Corporate Systems team members contribute to high-impact work that improves how technology is delivered, operated, and evolved across the organization, helping ensure Moody’s systems are resilient, forward-looking, and positioned for continued growth.
Annual base salary gross: €44,200.00 to €70,800.00. Applicable to Lithuania candidates: The base salary range represents the low and high end of the Moody’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, and competencies. The salary is one component of Moody’s total compensation package for employees. Other rewards and benefits include the following: Medical, Personal Accident, Life Insurance and Time Off.
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.
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