Senior Software Engineer

Senior Software Engineer

Heredia, Costa Rica

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 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.

Education

• Bachelor's degree in Computer Science or a related field required, with a master’s degree preferred

Responsibilities

• 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

• About the Team

• 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.