Software Engineer

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. 

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. 

We are seeking a seasoned Cloud Engineer with a strong understanding of Azure and AWS cloud services to join our growing team.
The successful candidate will have proven experience in large-scale enterprise environments with hands on experience on Azure Kubernetes Service (AKS) and Amazon Elastic Kubernetes Service (EKS), in designing, implementing, and managing multi-region and multi-environment Kubernetes clusters. The ideal candidate will possess a deep understanding of cloud architecture and container orchestration, demonstrating a strong capability to navigate complex cloud environments.
Responsibilities:

• Design, develop, and deploy cloud-based solutions on Azure and AWS platforms.
• Implement, manage, and maintain basic Azure resources including VMs, Azure Functions, Azure Logic Apps, and Azure SQL databases.
• Manage AWS resources with an emphasis on IAM and monitoring services such as CloudWatch and AWS Config.
• Design and implement scalable, secure, and resilient cloud infrastructure on Azure and AWS, with a focus on AKS and EKS for container orchestration.
• Develop, deploy, and manage multi-region and multi-environment Kubernetes clusters, ensuring high availability, disaster recovery, and seamless auto-scaling.
• Develop infrastructure as code (IaC) scripts using tools like Terraform, CloudFormation, Ansible, or similar, to automate the provisioning and management of cloud resources.
• Stay abreast of the latest cloud technologies and Kubernetes trends, evaluating and advocating for the adoption of new tools and practices to enhance our cloud capabilities.
• Troubleshoot and resolve cloud-related issues through rigorous analysis.
• Make informed decisions and recommendations based on thorough research and discussions with senior Architects and Engineers.
• Utilize DevOps tools to automate tasks, optimize pipelines, and propose improvements.
• Work closely with team members to develop and implement agile methodologies.

Qualifications:

• Bachelor’s degree in computer science, Engineering, Information Technology, or related field.
• 3+ years of experience in cloud engineering, with hands-on expertise in AKS and EKS.
• Proven track record in setting up and managing multi-region, multi-environment Kubernetes clusters.
• Strong understanding of cloud security best practices, network configurations, and IAM policies.
• Proficiency in infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible, Chef, Puppet).
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, Azure DevOps) and container registries (e.g., Docker Hub, Azure Container Registry
• Proficiency in agile methodologies and a demonstrated history of applying these practices.
• Exceptional analytical and troubleshooting skills.
• Excellent decision-making abilities, based on rigorous research and consultation.
• Strong team player who can quickly adapt to the existing environment.

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.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.