Senior Software Engineer

Grade Level (for internal use): 10 The Role:   Engineer III, Software Engineering   Team:   Enterprise Data Organization | Distribution and Data Platforms   – Data Management Tech   |   Internal Knowledge Platforms    Role Summary:   Reporting to the Associate Director, Internal Knowledge Platforms, the Engineer III, Software Engineering   is responsible for   developing, deploying, maintaining, and supporting bespoke capabilities and integration with open-source tools in the Knowledge Graph space.   This individual contributor role combines domain   expertise   in the Software, Cloud, and Data Engineering spaces with practical exposure to Data Science and Knowledge Engineering disciplines, in support of enabling delivery and ongoing operation of enterprise-grade semantic tooling across the larger divisional ecosystem.

In partnership with Product and   senior engineering leadership , contributing to the implementation of the engineering roadmap for semantic stack solutions, including integration with bespoke or proprietary internal systems.   Supporting the end-to-end software development lifecycle, including   requirements   refinement, application development, testing, cloud-native deployment automation, and production support.   Contributing to collaborative R&D and rapid prototyping within the semantic space, working closely with Knowledge Engineering.   Building, enhancing, and   maintaining   shared capabilities, in a shift-left environment enabling federated consumption across divisions and business units of S&P Global.   Monitoring, troubleshooting, and resolving application and platform issues, with a focus on reliability, maintainability, and operational excellence.   Ensuring systems are secure, compliant, auditable, and observable in alignment with Enterprise standards .   Supporting ongoing platform stability, performance, and service improvements through practical execution,   issue   remediation, and continuous enhancement.   Taking ownership of assigned services and components, including maintenance, support, documentation, and lifecycle management .

Bachelor’s degree in Computer Science , Software Engineering, or   a related   field.   4 + years of progressive experience in Software Engineering.   Strong knowledge and hands-on experience with container management platform-based technologies in AWS.   Experience and comfort developing modern Python software (3.13+ minimum).   Experience and comfort implementing and working within CICD / IAC processes (GitHub Actions, Terraform).   Proven ability to build, maintain, and support software solutions in complex, data-driven environments.   Experience with production support, issue resolution, application maintenance, and continuous improvement of software systems.   Agile mindset, with the ability to work effectively through change and shifting priorities in a fast-paced environment.

Experience and comfort developing modern Java software (JDK17+ minimum).   Demonstrated experience supporting microservice architectures and event-driven systems handling both high-volume and high-velocity data.   Prior experience with Resource Description Framework (RDF) data, SPARQL, and RDF-based   triplestores   is a significant plus.   What’s In It For You?

Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world