Watch this video to learn more about Moody's
Job Details
Location(s):
- Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN
Line Of Business: Data Estate(DE)
Job Category:
- Engineering & Technology
Experience Level: Experienced Hire
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.Ìý
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.Ìý
Skills and Competencies
Ìý
Ìý
- 6+ years of hands-on experience with Kubernetes, specifically Amazon EKS (required):ÌýCritical for designing and managing enterprise-scale container orchestration with advanced networking, security, and multi-tenancy.
- Deep expertise in AWS serverless technologies (required):ÌýIncluding Lambda, API Gateway, EventBridge, and Step Functions, to lead scalable, event-driven architecture initiatives.
- 4+ years of experience with Terraform (required):ÌýRequired for architecting Infrastructure as Code strategies, including advanced module design, state management, and CI/CD integration.
- 2+ years of experience with ArgoCD and GitOps practices (required):ÌýEssential for implementing declarative, version-controlled infrastructure and application deployments across multi-cluster environments.
- Expert-level proficiency in GitHub Actions and branching strategies (required):ÌýNeeded to design sophisticated CI/CD pipelines and manage complex workflow orchestration, release flows, and compliance automation.
- Advanced scripting skills in Python, .NET, or similar languages (required):ÌýImportant for developing automation tools and integrating infrastructure with operational workflows.
- Experience with progressive delivery patterns (required):ÌýIncluding blue-green deployments, canary releases, and feature flagging to support safe and controlled rollouts.
- Knowledge of site reliability engineering (SRE) principles (required):ÌýTo establish SLIs/SLOs, drive observability, and ensure platform reliability and performance.
- Proven leadership in DevOps or platform engineering (required):ÌýDemonstrated ability to mentor teams, lead incident response, and drive technical strategy aligned with business goals.
- Strong understanding of cloud security and compliance frameworks (preferred):ÌýSuch as SOC2, HIPAA, and PCI, to ensure infrastructure meets regulatory and governance standards.
- Experience with Databricks and MLOps workflows (preferred):ÌýValuable for teams working in data-intensive environments and supporting data platform governance.
- Advanced knowledge of Kafka, MongoDB and Azure DevOps (preferred):ÌýUseful for managing event-driven architectures and multi-cloud Kubernetes environments.
Ìý
Education
Ìý
Bachelor’s degree in Computer Science or equivalent experience
Ìý
Ìý
Responsibilities
Ìý
Lead cloud infrastructure strategy and automation with Kubernetes, AWS, GitOps, and CI/CD to drive scalable, secure DevOps solutions.
Ìý
- Architect and manage enterprise-scale container platformsÌýusing Kubernetes on cloud infrastructure, ensuring secure, multi-tenant, and highly available environments.
- Lead the design and implementation of serverless architecturesÌýusing cloud-native services to support scalable, event-driven applications.
- Develop and maintain Infrastructure as Code strategiesÌýusing tools like Terraform, including advanced module design, state management, and integration with deployment pipelines.
- Implement and champion GitOps practicesÌýusing declarative tools to manage infrastructure and application deployments across multiple environments.
- Design and optimize complex continuous integration and delivery pipelinesÌýusing advanced workflow orchestration, reusable components, and secure release strategies.
- Automate testing, security scanning, and compliance validationÌýacross development, staging, and production environments to ensure operational excellence.
- Establish and monitor service-level indicators and objectivesÌýto drive reliability engineering practices and ensure platform performance and resilience.
- Lead incident response and root cause analysis effortsÌýto resolve critical issues and implement preventive measures that improve system stability.
- Mentor and guide junior engineers and peersÌýby sharing best practices, conducting code reviews, and fostering a culture of continuous learning and improvement.
- Collaborate with cross-functional teamsÌýincluding product, security, and business stakeholders to align infrastructure strategy with organizational goals.
- Drive strategic planning and technical visionÌýfor the evolution of the DevOps toolchain, cloud infrastructure, and platform architecture.
- Promote a culture of DevOps excellenceÌýby advocating for automation, observability, and continuous improvement across the engineering organization.
Ìý
Ìý
About the team
Ìý
OurÌýData Estate DevOpsÌýteam is responsible for enabling the scalable, secure, and automated infrastructure that powers Moody’s enterprise data platform. We ensure the seamless deployment, monitoring, and performance of data pipelines and services that deliver curated, high-quality data to internal and external consumers.
We contribute to Moody’s by:
- Accelerating data delivery and operational efficiencyÌýthrough automation, observability, and infrastructure-as-code practices that support near real-time data processing and remediation.
- Supporting data integrity and governanceÌýby enabling traceable, auditable, and resilient systems that align with regulatory compliance and GenAI readiness.
- Empowering innovation and analyticsÌýby maintaining a modular, interoperable platform that integrates internal and third-party data sources for downstream research models, client workflows, and product applications.
By joining our team, you will be part of exciting work inÌýcloud-native DevOps, data engineering, and platform automation, supporting global data operations across 29 countries and contributing to Moody’s mission of delivering integrated perspectives on risk and growth.
Ìý
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.

In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business... Read more