Let's begin! AVP-Cloud Architecture & Engineering

Moody's Corporation•Charlotte, NC

About The Position

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. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. About the Team Our Technology Services Group team is responsible for driving cloud architecture strategy and engineering excellence across Moody’s enterprise. We enable secure, scalable, and automated cloud solutions that power critical business applications. By joining our team, you will be part of exciting work in multi-cloud environments, automation, and infrastructure innovation, leveraging AI-driven tools to enhance operational efficiency and foster responsible technology adoption

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

Nice To Haves

AWS Solutions Architect Professional or equivalent certification preferred

Responsibilities

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