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# Senior Software Engineer

- **Company:** Moody's Corporation
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $139,800.0 - $202,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Apache HTTP Server, C Sharp (Programming Language), Cloud Computing, Software Quality, Databases, Continuous Delivery, Continuous Integration, Data Infrastructure, Data Integrity, Database Security, Linux, Identity and Access Management, Microsoft SQL Server, Performance Tuning, Data Streaming, Elastic Block Store, Private Cloud Environment, System Availability, Apache Spark, Change Data Capture, Backend, Database Migration, Data Lakes, Debezium, Kubernetes, Information Technology, Performance Monitor, Apache Kafka, SQL Server Management Studio (SSMS), Drift Detection, Cloudwatch, Restful APIs, Terraform, Microservices
- **Published:** October 22, 2026
- **Apply:** https://www.careerjet.com/job/us72dfeabf2cb53ade02594cf7fa6b5d4b/eaa

## About the Role

* 5+ 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 StatefulSets, 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 CloudWatch
 * 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, * Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience

## Description

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 StatefulSets, storage classes, pod quality of service, upgrades, and day-two automation
 * Own availability and recoverability: configure and exercise Availability Groups, run failovers, and prove restores against recovery point objective and recovery time objective targets
 * Tune performance at the query, index, and instance level; run the estate to a defined standard through configuration baselines, drift detection, scheduled patching, and maintenance automation
 * Keep databases secure and auditable through encryption, least-privilege access, auditing, and key and certificate rotation; protect data integrity through scheduled consistency checks, corruption detection, and tested recovery
 * Baseline performance and alert on plan regressions, blocking, deadlocks, log growth, replica health, and job failures; build and run change data capture pipelines with attention to latency, ordering, schema evolution, and backfills
 * Manage AWS storage and capacity: Elastic Block Store volume types, input/output operations per second and throughput headroom, expansion, snapshots, and cost; write platform services, automation, and infrastructure as code; maintain continuous integration and continuous delivery pipelines for database change
 * Participate in on-call rotation, lead incident response, build the observability that shortens the next incident, and propose platform improvements through design reviews