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
Required Qualifications
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8+ years hands-on DevOps engineering experience on Salesforce platforms
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Strong hands‑on experience with CI/CD tools such as GitHub, Salesforce DevOps Center, and Gearset.
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5+ years of experience managing multi‑environment Salesforce delivery (development, testing, UAT, production)
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Demonstrated technical expertise, leadership, and team management skills
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Ability to drive cross‑functional teams to meet goals and operate effectively in a large enterprise environment
Preferred Qualifications
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Experience with end-to-end CI/CD pipelines for Databricks workloads (notebooks, jobs, DLT pipelines) and automating deployments using Databricks Asset Bundles, Databricks CLI, and GitHub Actions / Azure DevOps
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Experience with QA automation frameworks and test automation strategy
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Experience with Cursor and ClaudeCode
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Background in regulated, risk‑aware, or highly governed environments
Education
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Bachelor’s Degree in Computer Science or Computer Engineering
Responsibilities
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Lead DevOps engineering for Salesforce and Databricks, driving secure, scalable, and reliable release delivery responsible for CI/CD pipelines, release management, and environment strategy
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Own DevOps standards, tooling, and best practices
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Partner with Salesforce developers and Databricks engineers to enable efficient, high‑quality automated releases
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Partner with QA engineers to integrate test automation frameworks into CI/CD pipeline
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Drive automation across build, test, deployment, monitoring, and incident management
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Manage and deliver Salesforce and Databricks releases
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Lead, mentor, and develop engineers, including goal setting, performance management, and coaching
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Contribute to broader technology modernization and engineering excellence initiatives at Moody’s
About the team
The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision-making across the business.
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.
