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  "job_description": "At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. 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.\n\nSenior‑level software engineering expertise in distributed, streaming, and data‑intensive systems\n\nProficiency in C/C++ for legacy systems and Python (or similar) for modern service development\n\nDeep understanding of real‑time data pipelines, event streaming, and workflow automation\n\nPractical experience with cloud platforms (AWS strongly preferred; Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Own and modernize a mission critical AI driven data platform, delivering scalable, reliable, and future ready solutions for Moody’s data estate. Critical AI driven data platform, delivering scalable, reliable, and future ready solutions for Moody’s data estate.\n\nTake full technical ownership of PD Deliver, a mission critical platform that automates ingestion, filtering, and delivery of high value unstructured financial data (news and filings)Deliver critical platform that automates ingestion, filtering, and delivery of high value unstructured financial data (news and filings)\n\nEnsure continuity, stability, and performance of the platform while leading its modernization and architectural evolution\n\nDesign, maintain, and evolve real-time data pipelines and streaming workflows, ensuring accuracy, scalability, and low latency time data pipelines\n\nLead infrastructure assessment and cloud migration planning, including dependency untangling, risk mitigation, and phased execution\n\nIntegrate machine learning and generative AI capabilities to enhance filtering, clustering, enrichment, and content relevance\n\nBuild and maintain feedback mechanisms that continuously improve model performance based on user interaction\n\nEnsure high availability, redundancy, monitoring, and failover for a business-critical production system critical production system\n\nProduce clear technical documentation and architectural artifacts to prevent knowledge silos and support long-term sustainability term sustainability\n\nAct as a technical leader and mentor, supporting junior engineers and collaborating across distributed teams\n\nAutonomy: Operate with a high degree of independence as a senior individual contributor, owning design, implementation, and delivery decisions.\n\nThe Data Estate Enrichment team is responsible for transforming largescale unstructured data into trusted, actionable insights across Moody’s. The team combines advanced software engineering, data pipelines, and AI/ML techniques to enrich and distribute content used by hundreds of internal stakeholders globally.\n\nBy joining this team, you will play a pivotal role in modernizing a high visibility platform at the intersection of data, cloud infrastructure, and artificial intelligence, helping shape Moody’s next generation of data and agentic AI capabilities.visibility platform at the intersection of generation data and agentic AI capabilities.\n\nAll 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.\n\nCandidates 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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  "job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
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