Sr Cybersecurity Engineer - Automation
About the role
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. 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 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. Skills and Competencies 5+ years of experience in automation engineering, scripting, or cyber technology environments with strong knowledge of cybersecurity concepts, controls, and secure technology practices Strong expertise in PowerShell scripting to automate processes, improve operational efficiency, and solve complex technical challenges Demonstrated ability to independently lead end-to-end projects from
requirements gathering through implementation and support Proven experience building and integrating systems using REST APIs, SCIM, webhooks, and event-driven architectures Hands-on experience with IAM platforms and workflows, including Active Directory, SailPoint, ServiceNow (or similar IGA and ITSM tools); knowledge of access governance, JML lifecycle processes, and workflow documentation is preferred Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), Git-based version control, automated testing, and DevOps tooling such as Terraform, Helm, Kubernetes, and Docker Experience building dashboards and operational reporting (e.g., Power BI, ServiceNow Performance) to track automation performance, access governance metrics, and operational KPIs Practical experience applying AI/agentic tooling to automate security operations tasks (e.g., ticket triage, anomaly detection, workflow orchestration), with an understanding of associated governance, risk, and ethical considerations in AI adoption Education Bachelor's degree or equivalent qualification in Computer Science, Information Technology, Cybersecurity, Engineering, or a related field Advanced technical certifications preferred, such as CISM, CISSP, SailPoint Certified IdentityNow Engineer, Microsoft Certified: Identity and Access Administrator (SC-300), or equivalent certifications in automation, cloud, or identity technologies