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About the Role:
Grade Level (for internal use): 09
The Team:
The Data & Research Tech Operations team is accountable delivering infrastructure architecture, implementation & deployments on S&P Global Market Intelligence Cloud & Data Centers in collaboration with S&P Global Digital infrastructure & other teams from a wide variety of backgrounds. The key area of focus: Infrastructure as Code, Application Architecture, Automation, Project Delivery, Environment Troubleshooting, and Low-Level Design Documentation.
This role is part of a world-class Product Services & Engineering team responsible for architecting solutions to meet business requirements across various product offerings of S&P Global Market Intelligence, which are used by tens of thousands of users globally. The team ensures that cloud solutions deliver greater reliability and resilience, high performance, high availability, and scalability.
Collaboration occurs within a global team of highly skilled and driven professionals from leading institutions and industries. Responsibilities include understanding business requirements and architecting cloud-based solutions for the delivery of large-scale data processing, aggregation, and publishing of market data systems.
Responsibilities & Impact:
The role utilizes technical knowledge and analytical skills to architect and optimize cloud infrastructure, standardize the technology stack for cloud and data centers, implement cloud service catalogs and service governance solutions, and drive the implementation of a cloud-first strategy in partnership with development and business stakeholders.
As a Site Reliability Engineer, the individual will be part of a talented platform engineering team that demonstrates exceptional technical competency, delivers mission-critical infrastructure, and ensures the highest levels of availability, performance, and security. Responsibilities include support and operations of large-scale desktop and web application systems.
This position holds direct accountability for achieving Technical Operations objectives and contributes to team goals that drive infrastructure and application performance and growth.
Work involves addressing problems of critical and high severity, where analysis requires a thorough review of dependencies across systems, infrastructure, networks, applications, databases, data, and protocols.
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