
Job description
Join the S&P Global Enterprise Data Organization team as a Lead Cloud Engineer to support and expand cloud infrastructure, monitoring and alerting frameworks, onboarding/migration projects, and interact with the wider QA and Development team.
Collaborate with software development teams to improve application reliability, performance, and scalability. Provide BAU Production support, develop scripts in Python/Unix shell scripting/AWS Lambda, design and implement infrastructure using GitHub/CI/CD/Terraform on AWS cloud platform, and set up and configure monitoring solutions.
We're looking for a motivated individual with a strong passion for DevOps, application support, and cloud technologies. You should be comfortable working in a hybrid environment and have good written and verbal communication skills.
Company

Finance • Tech, Software & IT Services
S&P Global delivers trusted data, analytics, and intelligence that enable businesses, governments, and investors to make confident decisions across capital and commodities markets. Its core offerings include world-leading benchmarks, credit ratings, portfolio risk solutions, and ESG and sustainable finance metrics. The company supports clients through the energy transition, artificial intelligence acceleration, and evolving public and private markets, helping them uncover opportunities and mitigate risks. By combining deep expertise with advanced technology, S&P Global distinguishes itself as a vital partner for organizations navigating a rapidly changing global landscape.
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