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Software Engineer
Vilnius, Lithuania
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Posted
06/23/2026
Job reference
13941
Experience level
Experienced Hire
Job category
Engineering & Technology
Line of business
Technology Services Group
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.Skills and CompetenciesExperience in software engineering or integration development focused on enterprise integration development , with extensive hands-on experience with any enterprise integration platform, including API design, development, and deployment across multiple environmentsProficiency in one or more programming or scripting languages such as Java, JavaScript, Python, or Groovy, along with strong object-oriented programming concepts and data transformation skills alongside experience in developing, consuming, and troubleshooting RESTful and SOAP-based web services and APIsSolid understanding of enterprise integration patterns, microservices architecture, event-driven systems, and API-led connectivity principlesExperience integrating enterprise platforms using connectors, APIs, and event-driven patterns in complex enterprise environmentsExperience with cloud-based platforms and services such as AWS, Azure, or Google Cloud Platform, including cloud-native integration capabilitiesFamiliarity with DevOps practices, CI/CD pipelines, and tools such as Maven, Jenkins, GitHub Actions, or equivalent build and deployment automation tools.Ability to optimize integration flows and APIs for scalability, performance, reliability, and security across enterprise-grade environments.Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiencyProven 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 useEducation Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical disciplineResponsibilities Design, develop, and maintain robust integrations and APIs to support business-critical applications and data flowsCollaborate with solution architects, business analysts, and application teams to gather requirements and translate them into scalable integration solutionsTroubleshoot and resolve issues in development, test, and production environments, ensuring high...
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