Senior Software Engineer

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 Competencies5+ years building and operating backend or data platform systems in production environments

Strong hands-on SQL Server administration: query and index tuning, execution plans, wait statistics, Query Store, and tempdb management; SQL Server on Linux or adjacent depth with a demonstrable fast ramp Backup, restore, and high availability:
Always On Availability Groups, and recovery proven against recovery point objective and recovery time objective targets; fleet operations including configuration standards, drift detection, patching, and maintenance automation

Database security: encryption at rest and in transit using Transparent Data Encryption, least-privilege access, auditing, and key and certificate rotation; data integrity through scheduled consistency checks, corruption detection, and recovery

Proactive monitoring: performance baselines, plan regressions, blocking, deadlocks, log growth, replica health, and job failures; production Kubernetes with stateful workloads including Stateful Sets, persistent volumes, and resource limits

Production AWS experience across Elastic Kubernetes Service, Elastic Compute Cloud, Elastic Block Store, Simple Storage Service, Identity and Access Management, Virtual Private Cloud, and Cloud Watch Strong  backend engineering in C#/.NET: REST APIs, microservices, testing, and code quality practice;
Linux fluency and clear written communication for a distributed team Preferred: SQL Server replication and change data capture at production scale including failure modes; backup to S3-compatible object storage and Elastic Block Store snapshot strategy; lakehouse exposure with Apache Iceberg or Delta Lake; streaming and integration using Kafka, Debezium, AWS Database Migration Service, and Spark; infrastructure as code using Terraform and Helm;

very large database operations; working knowledge of Java

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 or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience

Responsibilities

Operate and continuously improve a self-hosted SQL Server estate on Linux and Kubernetes, ensuring availability, performance, and data integrity for Moody's Insurance Solutions products.

Operate and harden SQL Server on Linux on Elastic Kubernetes Service: manage Stateful Sets, storage classes, pod quality of service, upgrades, and day-two automation

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