Cloud DevOps Engineer

Team

The S&P Global Automotive Data Strategy team is a close-knit, highly skilled group responsible for building and supporting large-scale cloud platforms and data processing solutions. The team operates across multiple disciplines, including cloud architecture, Dev Ops, business analysis, data analysis, and data engineering.

Grade Level: 11
The role: Cloud Dev Ops Engineer

The S&P Global Automotive Data Strategy team is a close-knit group responsible for building and supporting large-scale cloud platforms and data processing solutions. We design and develop cloud platforms, shared data assets, and reusable solutions that are leveraged across the organization. The team owns the Dev Ops function for a large-scale cloud‑based data processing environment and establishes best practices for cloud infrastructure and data processing.

We also provide guidance to other project teams on cloud modernization initiatives and scalable data solutions.

• Collaborate with team members to identify opportunities for improvement and develop new solutions that integrate seamlessly with existing platforms
• Design, build, test, and document new capabilities for a large-scale data processing platform to ensure maintainability and knowledge sharing
• Design and implement scalable, automated infrastructure solutions using infrastructure-as‑code methodologies and cloud-native services
• Develop and enhance cloud‑based solutions to improve platform performance, reliability, scalability, and cost efficiency while supporting high‑volume data workflows
• Provide operational support through on‑call rotations, ensuring high availability and timely incident resolution, including root‑cause analysis
• Partner with data engineering and development teams to design and deploy robust automated deployment pipelines for platform updates and feature releases

• Present solutions and transfer knowledge to user communities and senior leadership
• Provide guidance to teams building data pipelines within the cloud data processing environment
• Evaluate technical options and conduct proof‑of‑concept initiatives for new solutions
• Monitor platform costs and execute remediation activities as needed
• Conduct design and code reviews to ensure adherence to architectural standards and best practices
• Integrate new capabilities into existing solutions, including resiliency and disaster recovery features
• Enhance system monitoring, logging, alerting, and reporting
• Support release management activities, including coordination and communication with end users

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 5+ years of experience designing and supporting cloud infrastructure and services
• Strong experience with cloud‑based data processing, storage, orchestration, and automation services
• Hands‑on experience with infrastructure‑as‑code tools and automation frameworks
• Proficiency in Python or similar languages for automation, tooling, and platform development
• Experience in solution architecture, including evaluating technology fit, defining designs, and delivering proof‑of‑concept solutions
• Strong problem‑solving skills and ability to work effectively across cross‑functional teams
• Excellent communication and collaboration skills in a fast‑paced environment

• Experience working with automotive data or other complex, domain‑specific data sets
• Experience with containerized or distributed workload orchestration platforms
• Experience with cloud security practices, including monitoring, compliance, and vulnerability management
• Experience with cloud cost optimization, monitoring, and remediation
• Proven experience building and managing automated deployment and release pipelines
• Experience leveraging generative AI tools to improve efficiency, such as researching new technologies or assisting with solution design and logic development

This role is open only for candidates with indefinite right to work within the USA.