S&P Global Software Engineer Interview Guide

We've seen S&P Global reward candidates who can move comfortably between fundamentals and real-world implementation. Across candidate reports, the strongest signal isn't flashy algorithms — it's whether you can explain SQL modeling, data structures, and system design choices in a way that feels grounded in something you've actually built. Multiple candidates mentioned hierarchy-style SQL questions, joins and subqueries, and practical prompts like LRU cache or employees-before-managers, which tells us the interviewers care about whether you can reason through relationships and edge cases, not just produce syntax from memory.

A recurring theme is that interviewers lean heavily on whatever is already on your resume and GitHub. Our candidates report deep dives into database optimization, indexing, React state management, Java internals, and even C# concurrency primitives — all depending on the interviewer. That variability matters. The bar isn't a fixed checklist; it's whether you can defend your stack choices and stay coherent when the conversation jumps from Python exception handling to microservices design patterns in the same session. The candidate who received an offer after a React coding exercise noted that having a concrete shipped project on GitHub visibly shifted the tone of the conversation — the interviewers had something real to probe rather than hypotheticals to evaluate.

We also notice that S&P Global pays close attention to the candidate's narrative around career decisions. Several experiences flag direct questions about short tenures, commitment signals, and reasons for leaving — sometimes in the same breath as technical questions. The non-obvious make-or-break here is staying calm and specific when the conversation turns personal. Candidates who treated the fit rounds as an extension of their project story, rather than a separate behavioral exercise, consistently came across as more credible.