Associate Director -DevOps Engineer at Moody's

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Terraform, AWS, Azure, GCP, Cloud-native Architecture, Continuous Integration, Continuous Deployment, Docker, Programming Languages, Analytical Skills, Problem-solving, Mentoring, Artificial Intelligence, Risk Management, Ethical Use

Industry

Financial Services

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. 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 Proven experience managing large-scale Kubernetes deployments and infrastructure as code using Terraform Hands-on experience with AWS, Azure, or GCP, and deep familiarity with cloud-native architecture and multi-cloud strategies Strong background in continuous integration and deployment, with hands-on experience in designing and maintaining robust pipelines Proficient in Docker, Kubernetes, and related container orchestration tools Knowledge of at least one and preferably two programming languages such as Python, Rust, C/C++/C#, with strong debugging and optimisation skills Excellent analytical and problem-solving abilities, with a track record of working independently and collaboratively across teams Ability to mentor engineers on architecture, best practices, and quality standards, fostering a culture of technical excellence. Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use. Education Bachelor’s degree in Computer Science, Engineering, or a related technical field Advanced degree (Master’s or PhD) in a relevant discipline is a plus Responsibilities Design, implement, and maintain scalable infrastructure using Terraform, Kubernetes, and cloud-native tooling. Automate deployment, configuration, scaling, and monitoring processes Partner with development teams to enable experimentation, functional testing, and load testing. Evaluate and integrate new tools to enhance monitoring, logging, and operational efficiency Architect and oversee build and deploy workflows for product development and testing Continuously improve CI/CD pipelines to reduce deployment time and manual effort Ensure optimal performance, availability, and security of infrastructure and development applications Participate in 24x7 operational support and on-call rotations as a senior escalation point Ensure infrastructure security and compliance with InfoSec and regulatory requirements Work closely with cross-functional teams to ensure successful delivery and implementation of tasks. Liaise with management and stakeholders as needed Support and guide junior engineers, contributing to onboarding, documentation, and knowledge sharing About the team Our Platform Engineering team is responsible for building and maintaining the foundational systems and services that power Moody’s technology ecosystem We enable innovation by providing scalable, reliable, and secure platforms that support the development and deployment of cutting-edge applications. By joining our team, you will be part of exciting work in cloud infrastructure, DevOps, and AI-driven platform solution 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.

Responsibilities

Design, implement, and maintain scalable infrastructure using Terraform, Kubernetes, and cloud-native tooling. Partner with development teams to enable experimentation, functional testing, and load testing.