Key technologies and capabilities for this role
Common questions about this position
The role requires strong Java microservices development, Kafka for event-driven components and data pipelines, and expertise in AI/ML for search including RAG, vector stores, semantic enrichment, and agentic workflows. Additional skills include Spring, cloud-native tools, resilience, observability, secure coding, and CI/CD practices.
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The team has a supportive culture emphasizing learning, quality, and continuous improvement, with collaboration among experienced engineers in distributed systems, cloud, search, and platform design.
Strong candidates will have experience in Java microservices, Kafka, and AI/ML integration for search (like RAG, vector stores, and agentic workflows), plus the ability to deliver resilient, observable services, conduct proof-of-concepts, and collaborate across teams.
Provides financial information and analytics services
S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.