
Senior Software Engineer
NEW YORK, NYJobSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
Moody’s Analytics seeks a Senior Software Engineer to build and operate backend services and AI-powered features for intelligent data products. The role focuses on production-grade services, cloud-native applications, and large language model features, including retrieval-augmented generation and agentic workflows. The engineer will own assigned components end to end and contribute to technical design, operational readiness, and continuous improvement. U.S. employment eligibility is required; visa sponsorship is not offered.
Skills & qualifications
Skills
Qualifications
Full job description
14869 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. * Employment eligibility to work in the U.S. is required, as Moody's will not pursue visa sponsorship for this positionSkills and Competencies5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications * Strong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systems * Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization * Demonstrated ability to own services, components, or features end to end, from technical design through production deployment and ongoing operation with limited supervision * Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines * Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs * Experience mentoring engineers through code review, pairing, debugging, documentation, and the promotion of engineering excellence through testing and continuous improvement 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. * EducationBachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience * ResponsibilitiesDesigns, builds, and operates the services and AI-powered features behind Moody's intelligent data products as a senior contributor within the Digital Content and Innovation organization.Design, code, test, and operate backend services, application programming interfaces, data pipelines, and inference pipelines that support real-time and batch AI workloads * Own the delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement * Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration * Contribute to technical designs, participate in design reviews, and identify risks, constraints, trade-offs, and alternative approaches * Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in o
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