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
6+ years of progressive experience in software or cloud engineering, including 3+ years in engineering leadership roles.
Proven success in managing and scaling engineering teams of 10+ members.
Strong coding skills in one or more programming languages: Java, C#, Python, JavaScript, C++, or similar.
Extensive hands-on experience architecting, deploying, and managing production workloads on public cloud platforms (Azure, AWS, or GCP).
Deep understanding of the software development lifecycle (SDLC), Agile methodologies, and DevSecOps principles.
Expertise in designing and deploying scalable, secure cloud systems, including microservices, event-driven systems, and RESTful APIs.
Proficiency with tools and technologies such as:
Backend: C#, Java, Node.js, .NET Core
Frontend: React.js, Angular, Vue.js
Cloud Platforms: Azure, AWS
Containerization & Orchestration: Kubernetes, Amazon EKS, Docker
DevOps Tools: Azure DevOps, GitHub Actions, Jenkins, CI/CD pipelines
Monitoring & Observability: Prometheus, Grafana, ELK Stack, Datadog
Demonstrated ability to lead delivery of complex, multi-year infrastructure or platform initiatives.
Strong stakeholder management and communication skills across distributed teams and time zones.
Proven track record of shipping high-quality features, products, or services.
Passion for mentoring and fostering growth within diverse engineering teams.
Preferred qualifications include experience with AI/ML technologies, data engineering pipelines, and familiarity with compliance frameworks such as SOC2 or ISO 27001.

Education
Bachelor’s Degree in Computer Science, Engineering, or a related technical field—or equivalent practical experience.
Preferred: Bachelor’s Degree with 10+ years of experience or Master’s Degree with 8+ years of experience.

Responsibilities
Build and lead a high-performing engineering team in India, managing 10–20+ engineers and team leads.
Own team planning, hiring, performance management, and career development while fostering an inclusive, collaborative team culture.
Drive execution of engineering deliverables with a focus on quality, scalability, and operational readiness.
Provide hands-on technical guidance and architectural oversight across modern cloud and engineering stacks.
Collaborate with US-based leadership and cross-functional teams to align on priorities, architecture, and delivery timelines.
Establish and maintain engineering excellence through clean code, automated testing, CI/CD, and Agile methodologies.
Lead the development and delivery of core platform components, shared services, and infrastructure capabilities.
Ensure the team is equipped to support production systems and participate in on-call rotations during India business hours.
Mentor engineers and technical leads, promoting a growth mindset and high-performance standards within the team.
Partner with finance, procurement, and security teams to manage infrastructure costs, embed DevSecOps practices, and ensure compliance with security frameworks.
Stay current with emerging technologies, applying relevant innovations to improve scalability, efficiency, and customer outcomes.

About the Team
You’ll join Moody’s Cloud Infrastructure team, where we design and implement cutting-edge cloud solutions that enable global risk analytics, data processing, and customer-centric SaaS platforms. Our mission is to build scalable, secure, and resilient infrastructure that powers Moody’s vision for innovative risk management and analytics. Join a team that thrives on collaboration, technical excellence, and solving real-world challenges through cloud technology.

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.

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.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.