The Team : Enterprise Data Organization | Distribution and Data Platforms - Data Management Tech | Internal Knowledge Platforms
The Impact
Delivering data to clients in a timely manner is key to the success of the company. As a software engineer, you will focus on reliability, performance and scalability. This role offers a unique prospect to work on a high-impact project. The successful customer and data onboarding tools will be closely watched by stakeholders, executives, and clients.
What's in it for you
- Professional Growth : You'll have the opportunity to join a high-performing team, growing your technical skills, and contribute to strategic decisions.
- Global Exposure : Collaborate with cross-functional teams across different geographies, gaining exposure to diverse perspectives and markets.
- Innovation : Shape the future of data integration by working on cutting-edge technologies and solving complex challenges.
Key Responsibilities:
- In partnership with Product, defining and executing the engineering roadmap for semantic stack solutions, including integration with bespoke or proprietary internal systems.
- Shepherding the end-to-end software development lifecycle, from requirements gathering and system design through to cloud-native deployment automation.
- Collaborative R&D; and rapid prototyping within the semantic space, working closely with Knowledge Engineering.
- Architecting shared capabilities , in a shift-left environment enabling federated consumption across divisions and business units of S&P; Global.
- Ensuring systems are secure, compliant, auditable, and observable in-alignment with Enterprise standards.
Required Qualifications:
- 10+ years of experience in Software engineering, with minimum 4 years in roles focused on direct leadership of Software and Quality Engineering teams.
- Deep knowledge and experience with container manageme