Software Engineer

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.

• Develop, maintain, and optimize data pipelines and cloud solutions on Microsoft Azure and Fabric, including Fabric Lakehouse, Data Pipelines, Dataflows Gen2, and OneLake
• Design and development of AI agent workflows using LangChain, Copilot Studio, or Microsoft AI frameworks
• Write clean, maintainable, and well-documented code in Python, PySpark, and SQL
• Participate in code reviews and ensure adherence to secure coding and best practices
• Collaborate with business and technical stakeholders to translate requirements into software and AI solutions
• Learn and experiment with emerging AI technologies, frameworks, and tools to expand agentic AI capabilities
• Troubleshoot issues in data pipelines or AI workflows and implement reliable solutions
• Contribute to CI/CD processes and manage code repositories in GitHub or Azure DevOps
• Support mentorship and knowledge sharing within the team, particularly around Agentic AI concepts and data engineering best practices
• 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

• 3–5 years of software development experience, ideally with exposure to cloud-based data engineering
• Strong programming skills in Python, SQL, and PySpark
• Basic understanding of cloud platforms, preferably Microsoft Azure and Fabric
• Familiarity with version control systems (Git) and CI/CD pipelines
• Solid understanding of SDLC processes and Agile methodologies
• Strong analytical and problem-solving skills, with a curious and self-learning mindset
• Good communication skills, with the ability to work effectively in a team and understand business objectives
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field

Nice to have

• Experience in building agentic AI workflows is a plus
• Interest in learning and working with Agentic AI frameworks like LangChain, Copilot Studio, and Microsoft AI services

• Medical, Personal Accident, Life Insurance and Time Off