Moody's
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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.
6+ years of hands-on Java software development experience, including building and supporting production-grade real-time data ingestion pipelines and representational state transfer application programming interfaces
Strong proficiency in Java 17 or later, object-oriented design, SOLID principles, design patterns, data structures, algorithms, concurrency, and parallel processing
Proven experience designing, deploying, and operating cloud-native distributed systems on Amazon Web Services, with a focus on scalability, reliability, performance, security, and cost
Hands-on expertise building and operating Java-based streaming pipelines using Apache Flink or another stream-processing framework
Strong expertise in Apache Kafka, including delivery semantics, consumer design, and troubleshooting event-driven data flows
Practical experience designing scalable microservices and working with MongoDB, OpenSearch, or Elasticsearch, including data modelling, indexing, aggregation, configuration, and query optimization
Working knowledge of authentication and authorization standards, including OAuth 2.0, OpenID Connect, JSON Web Tokens, and application programming interface keys
Preferred experience with Avro serialization, schema registries, Amazon Web Services streaming services, Docker, Kubernetes, Maven, continuous integration and continuous delivery pipelines, and search capabilities such as autocomplete and suggestions
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Bachelor’s degree in Computer Science or a related field required, with a master’s degree preferred
Designs, builds, and supports scalable real-time data pipelines, streaming applications, and application programming interfaces.
Design and deliver scalable Java-based ingestion pipelines, stream-processing applications, microservices, and representational state transfer application programming interfaces
Build Apache Kafka-based data flows that ingest, transform, and enrich real-time data, including integrations with reference datasets
Design and optimize MongoDB data access and OpenSearch or Elasticsearch indexing, ingestion, and query pipelines
Make independent architecture decisions that balance scalability, reliability, performance, security, and cost
Write maintainable, production-ready code and develop unit, integration, and contract tests, including Testcontainers-based testing
Diagnose and resolve latency, throughput, and resource bottlenecks while implementing secure authentication and authorization controls
Contribute to automated build, test, and deployment pipelines and collaborate on cloud and container-based deployments, production monitoring, troubleshooting, logging, metrics, and alerts
Partner with product, data, and architecture teams, mentor engineers through code reviews and design discussions, and apply artificial intelligence tools responsibly to improve development efficiency and code quality
The Data Estate Engineering team designs, builds, and operates Moody’s Analytics’ next-generation data pipeline. The team delivers high-quality, timely data using modern, industry-standard technologies and close collaboration across the business. By joining the team, you will contribute to large-scale data engineering solutions, support the responsible adoption of artificial intelligence tools, and help shape how data powers Moody’s Analytics.
For US-based roles only: the anticipated hiring base salary range for this position is ₡30,793,400.00 - ₡44,650,400.00, 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 may be eligible for a completion bonus. Moody’s also offers insurance and a discounted employee stock purchase plan for limited duration employees.
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 accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
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.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
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.
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