Let's begin! Sr Architecture Engineer

Moody's Corporation•Charlotte, NY

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.

Requirements

8+ years in software development and architecture, with a proven track record of designing complex systems.
Strong expertise in creating architecture diagrams, workflows, and technical documentation using tools such as Microsoft Visio, PowerPoint, Lucidchart, or equivalent.
Deep knowledge of AWS and Azure; experience with designing cloud-native and hybrid architectures.
Foundational understanding of system design principles and best practices.
Proficiency in designing RESTful APIs and microservices-based architectures.
Experience with relational, non-relational databases.
Sound understanding of secure coding practices, identity management, encryption, and compliance standards.
Familiarity with containerisation (Docker, Kubernetes), and CI/CD pipelines.
Skilled in UML, ER diagrams, and modelling tools for system design.
Excellent communication, stakeholder management, and ability to translate business requirements into technical solutions.
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
Master’s or Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Nice To Haves

Familiarity middleware platforms like MuleSoft and SAP CPI/BTP is a plus.

Responsibilities

Define and maintain the overall software architecture for enterprise applications, ensuring scalability, reliability, and security.
Create detailed architecture diagrams, technical workflows, and documentation using tools like Visio or Lucidchart etc. for projects.
Collaborate with product managers, developers, and business stakeholders to align technical solutions with strategic goals.
Establish coding standards, best practices, and architectural guidelines for development teams.
Design and oversee implementation of cloud-native solutions on AWS and Azure.
Architect microservices and API-driven integrations for interoperability and modularity.
Evaluate emerging technologies and recommend adoption as applicable.
Ensure compliance with security standards and regulatory requirements.
Provide technical expertise and support to engineering teams.
Participate in design reviews, performance assessments, and scalability planning.
Contribute to the integration of AI-driven components into system architecture.
Document architecture decisions and maintain a repository of design artefacts for future reference.