DevOps Engineer

ОписаниеMoody’s transforms how the world sees risk as a global leader in ratings and integrated risk assessment. The company advances AI to help clients navigate uncertainty with clarity, speed, and confidence.ЗадачиSupport the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moody’s products;Drive adoption of serverless architectures and container-based platforms to modernize applications and improve delivery efficiency;Implement Infrastructure as Code and Policy as Code practices to improve consistency, governance, and compliance across cloud environments;Build and maintain secure, scalable continuous integration and continuous deployment infrastructure that enables efficient software delivery;Monitor and optimize Amazon Web Services resource utilization to balance reliability, performance, scalability, and cost efficiency;Administer software-as-a-service development tools and platforms to support secure and productive engineering workflows;Collaborate with engineering teams to improve operational excellence, automation, and platform reliability;Troubleshoot infrastructure and deployment issues while contributing to documentation and knowledge sharing across teams;Evaluate emerging technologies, services, and industry best practices to enhance developer productivity, security, and scalability.ТребованияBachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical 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 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;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 willingness to develop awareness of responsible AI practices, including risk management and ethical use;Nice to have: Familiarity with continuous integration and continuous deployment tools such as Jenkins, GitHub Actions, or CircleCI; exposure to Infrastructure as Code tools such as Terraform or AWS CloudFormation.УсловияEmployment is contingent upon compliance with Moody’s Policy for Securities Trading, including remediation of securities holdings as necessary.

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