Posted on: 19/09/2026
About the Role :
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We are transforming how the world sees risk, advancing AI to move from insight to action.
Skills and Competencies :
- 6 - 9 years of DevOps and cloud engineering experience with expertise in enterprise-scale CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions
- Advanced experience with Infrastructure as Code using Terraform and AWS CloudFormation
- Deep knowledge of AWS and Azure services, cloud architecture, cost optimization, and security best practices
- Hands-on experience with containerization, Kubernetes/EKS, monitoring, and DevSecOps integration
- Strong scripting and automation skills using Python, Bash, and configuration management tools such as Ansible, Chef, or Puppet
- Demonstrated understanding of AI technologies and a commitment to leveraging AI tools to enhance DevOps efficiency
Responsibilities :
- Architect, implement, and maintain robust CI/CD pipelines supporting large-scale application deployment
- Design and automate cloud infrastructure using Infrastructure as Code best practices
- Manage containerized workloads and orchestration platforms while optimizing performance and scalability
- Implement monitoring, observability, security, and compliance frameworks
- Troubleshoot infrastructure challenges and drive operational improvements
- Mentor junior engineers and contribute to DevOps best practices
Education :
- Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, or a related discipline
About the Team :
The Asset Management Technology team builds and operates modern cloud platforms that support innovative financial technology solutions, combining engineering excellence, automation, and AI-driven innovation.
Did you find something suspicious?
Posted by
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1672889