
Location
London
Hours
Full Time
About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We strive 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 seek candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Our DC&I DevOps team is responsible for ensuring the reliability, security, and scalability of Moody’s global web platforms. We deliver scalable multi-region cloud infrastructure that supports high-traffic customer-facing products, provide automated deployment capabilities that enable fast and reliable software delivery, and safeguard critical platforms through monitoring, traffic management, and security best practices. By joining our team, you will gain hands-on experience across a modern DevOps technology stack and contribute to high-impact systems that support Moody’s digital products worldwide while working with innovative technologies that drive operational efficiency and continuous improvement.
Key responsibilities include supporting the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moody’s products; driving adoption of serverless architectures and container-based platforms to modernize applications and improve delivery efficiency; implementing Infrastructure as Code and Policy as Code practices to improve consistency, governance, and compliance across cloud environments; building and maintaining secure, scalable continuous integration and continuous deployment infrastructure; monitoring and optimizing AWS resource utilization; administering SaaS development tools and platforms; collaborating with engineering teams to improve operational excellence, automation, and platform reliability; troubleshooting infrastructure and deployment issues; and evaluating emerging technologies and best practices to enhance developer productivity, security, and scalability.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity, or any other characteristic protected by law.
Experience
- Familiarity with cloud services and platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
- Experience with source code management systems such as GitHub, Bitbucket, or GitLab
- Basic knowledge of Linux-based operating systems and a willingness to expand technical expertise
- Exposure to containerization technologies, including Docker
- Understanding of cloud and DevOps security concepts, including access controls, secrets management, and least privilege principles
- Familiarity with continuous integration and continuous deployment tools such as Jenkins, GitHub Actions, or CircleCI is preferred
- Exposure to Infrastructure as Code tools such as Terraform or AWS CloudFormation is preferred
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
About you
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
- Ability to collaborate effectively with engineering teams and contribute to operational excellence and platform reliability
- Motivated to evaluate emerging technologies and industry best practices to enhance productivity, security, and scalability
Qualifications
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
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