VP-DevOps Engineer

Moody's Investors Service; New York (NY); On-site; USD 170,000 - 220,000; Full time

Job summary

Moody's Investors Service is seeking an experienced leader to drive enterprise DevOps and AI platform strategy. You will own foundational infrastructure powering Moody's internal AI solutions and shared services.

You will define standards for cloud infra, advise on capabilities, and lead Terraform-based IaC adoption, Kubernetes environments, and platform transitions across the organization.Competitive salary and benefits are offered.

Qualifications

• Executive-level experience leading DevOps, cloud infra, or platform engineering teams in a large enterprise
• Deep experience with managed Kubernetes platforms including AKS and AWS
• Hands-on Terraform and Infrastructure as Code
• Proficiency designing and governing CI/CD pipelines with enterprise tools
• Strong background supporting AI or data-driven platforms in production
• Leadership driving complex platform transitions across org boundaries
• Ability to build scalable, secure DevOps practices
• Deep AI expertise with governance and responsible AI adoption

Responsibilities

• Define and execute enterprise DevOps and AI platform strategy
• Establish standards, governance, and operating models for cloud infrastructure
• Serve as senior technical advisor on cloud, DevOps, and AI platform capabilities
• Own foundational AI platform supporting enterprise tools and Copilot infrastructure
• Lead DevOps for development and testing environments and promote IaC adoption with Terraform
• Oversee managed Kubernetes environments for resilience and developer experience
• Host and maintain MCP discovery tool for AI agent reuse and partner with AI/product teams
• Lead transition of Copilot into Shared Services Technology Solutions Group

Skills

Executive leadership

Kubernetes (AKS, AWS)

Terraform / IaC

CI/CD pipelines (GitHub Actions)

AI / data-driven platforms

Platform transitions

DevOps best practices

AI governance & risk

Education

Bachelor's degree (CS/Engineering)

Tools

Terraform

Kubernetes platforms

GitHub Actions

Job description

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.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

Skills and Competencies

• Executive-level experience leading DevOps, cloud infrastructure, or platform engineering teams in a large enterprise environment
• Deep experience with managed Kubernetes platforms including Azure Kubernetes Service and Amazon Web Services
• Hands-on experience with Terraform and Infrastructure as Code
• Proficiency designing and governing CI/CD pipelines using enterprise tools such as GitHub Actions
• Strong background supporting artificial intelligence or data-driven platforms in production environments
• Demonstrated leadership driving complex platform transitions across organizational boundaries
• Proven ability to build scalable, secure, and repeatable DevOps practices
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

• Bachelor's degree in Computer Science, Engineering, or related technical field

Responsibilities

Lead enterprise DevOps and AI platform strategy, owning the foundational infrastructure that powers Moody's internal artificial intelligence solutions and shared services ecosystem.

• Define and execute the enterprise DevOps and AI platform strategy supporting internal artificial intelligence solutions
• Establish standards, governance, and operating models for cloud infrastructure
• Serve as a senior technical advisor on cloud, DevOps, and AI platform capabilities
• Own the foundational AI platform supporting enterprise tools and assume operational ownership of Moody's Copilot infrastructure
• Lead DevOps for development and testing environments and drive Infrastructure as Code adoption using Terraform
• Oversee managed Kubernetes environments ensuring resilience and enhance developer experience through automation and tooling
• Host and maintain an MCP discovery tool enabling AI agent reuse and partner with AI and product teams to operationalize evaluation and monitoring
• Lead organizational transition of Copilot into Shared Services Technology Solutions Group

About the Team

Our AI Platform and Core Services team is responsible for building and operating the foundational platform that powers enterprise artificial intelligence applications at Moody's. We drive the infrastructure, tooling, and governance that enable AI-powered innovation at scale - from managing cloud-native environments and Kubernetes platforms to operationalizing the systems that bring Moody's Copilot and other intelligent solutions to life. By joining our team, you will be part of a forward-thinking group at the center of Moody's AI transformation, working alongside talented engineers and cross-functional partners to turn today's platform investments into tomorrow's intelligent capabilities.

For US-based roles only: the anticipated hiring base salary range for this position is $170,000-$220,000, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

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.