Platform Software Engineering Summer Intern

About The Role

Platform Software Engineering Summer Intern at Moody's Corporation. This 10-week summer internship program offers students a hands-on learning experience.

Key Responsibilities

• Build features for an internal engineering platform that provides visibility into cloud cost, compliance, and operations.
• Develop web pages, dashboards, and data visualizations using Angular, TypeScript, and an internal design system (35%).
• Build and maintain serverless backend functions in Python and database queries that supply data to the platform (30%).
• Write automated tests, participate in code reviews, and resolve defects under the guidance of senior engineers (15%).
• Assist with cloud infrastructure configuration and deployment pipelines for new features (10%).
• Participate in agile ceremonies, document work, and present completed features to stakeholders (10%).
• Work under the close supervision of a senior engineer while progressing toward independently delivering small, well-defined features.

Requirements & Tech Stack

• Currently pursuing a bachelor’s or master’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Graduation date of May 2028 – June 2029.
• Ability to work during program dates: June 7th - August 13th 2027.
• Hands-on programming experience with TypeScript and the Angular framework.
• Hands-on programming experience with Python.
• Understanding of relational databases and Structured Query Language (SQL).
• Familiarity with web application programming interfaces, JavaScript Object Notation (JSON), and version control using Git.
• Exposure to public cloud services, serverless computing, or infrastructure as code is preferred.
• Experience writing automated unit tests.
• An interest in cloud cost management, security compliance, or developer tooling is desired.
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Graduation date of May 2028 – June 2029.
• Ability to work during program dates: June 7th - August 13th 2027.