Skills and Competencies
Required
- Familiar with cloud services (e.g, AWS, GCP, Azure)
- Experience with source code management systems (e.g., GitHub, Bitbucket, GitLab)
- Basic knowledge of Linux-based systems (e.g., Ubuntu, CentOS) and willingness to learn more
- Exposure to containerized concepts using Docker
- Interest in learning Cloud and DevOps security practices (e.g., security group configuration, secrets management, and least privilege access)
- Willingness to develop troubleshooting, communication, and documentation skills; able to stay organized and adapt in a fast-paced environment
Preferred
- Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q)
- Basic understanding of scripting and programming, with an interest in using it for automation (e.g., python)
- Exposure to core concept of Infrastructure as Code(IaC) tools (CloudFormation or Terraform)
- Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI) to support automated builds and deployments
- Basic understanding of networking and load balancing concepts, along with exposure to tools such as Nginx, HAProxy, AWS ALB, or NLB.
- Experience with AWS
- Familiarity with monitoring/logging tools (e.g., Splunk, Grafana, Datadog)
- Understanding of Agile practices and familiarity with related tools (e.g., Jira, Trello)
- 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
Education
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
Responsibilities
Supporting the design, deployment, and monitoring of systems that power Moody’s products, while learning to apply best practices in reliability, security, and scalability in a multi-region cloud environment.
- Drive adoption of serverless architectures (e.g., AWS Lambda, Step Functions, Glue, MWAA, DynamoDB) and container-based platforms (e.g., ECS Fargate) to modernize existing systems and deliver products more efficiently.
- Adopt Infrastructure as Code (IaC) (e.g., Terraform, CloudFormation) and Policy as Code (PaC) (e.g., Wiz, Prisma) to ensure consistency and compliance.
- Build and maintain flexible, reusable, and secure CI/CD infrastructure that enables development teams to manage their own pipelines for fast, reliable application delivery.
- Monitor and optimize AWS resource usage to control costs while maintaining reliability and scalability.
- Administer SaaS tools (e.g., GitHub, Postman, JFrog, Prisma Cloud, internal portals) to ensure security and efficient development workflows.
- Track and evaluate emerging tools, services, and practices in the industry, testing and adopting those that enhance scalability, security, or developer productivity.
About the team
Our DC&I DevOps team is responsible for ensuring the reliability, security, and scalability of Moody’s global web platforms.
We contribute to Moody’s by:
- Delivering scalable, multi-region cloud infrastructure to support high-traffic, customer-facing products.
- Providing agile, automated deployment pipelines that allow products to be released quickly, reliably, and securely.
- Safeguarding platforms with robust monitoring, traffic management, and security practices to ensure resilience and compliance.
By joining our team, you will gain hands-on experience across a broad DevOps technology stack and work on high-impact systems that power Moody’s digital products worldwide.