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At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
Job Responsibility:
Design cloud architecture patterns and reference implementations across AWS, Azure, and GCP environments
Build reusable Terraform modules and implement cloud solutions hands-on
Develop proof-of-concepts and validate approaches before rollout
Establish architectural standards and best practices for cloud infrastructure, networking, security, and automation
Mentor distributed engineering teams on cloud-native patterns and infrastructure-as-code practices
Conduct code reviews and pair programming sessions to elevate team capabilities
Drive automation initiatives that reduce manual processes and establish “ZeroTouch” operational patterns
Collaborate with leadership on multi-year cloud platform strategy and capability development
Requirements:
8+ years of hands-on cloud engineering and architecture experience
Strong expertise with AWS (primary focus), including VPC design, compute services, security patterns, and infrastructure automation
Working knowledge of Azure and/or GCP architectures and services
Expert-level Terraform skills – ability to create reusable modules and implementations
Proficiency in Git workflows, CI/CD pipelines, and infrastructure-as-code practices
Hands-on experience with scripting languages (Python, Bash, PowerShell) for automation
Understanding of cloud networking concepts: VPC design, hybrid connectivity, load balancing, DNS, CDN, and security patterns
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Bachelor’s degree in Computer Science, Information Technology, or related field
AWS Solutions Architect Professional or equivalent certification preferred
What we offer:
medical
dental
vision
parental leave
paid time off
a 401(k) plan with employee and company contribution opportunities