Software Engineer, Cloud Computing: Infrastructure & Operations, Data Engineering

Position: Staff Software Engineer
Location: Newark

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 Competencies8+ years in software and data platform engineering, owning a technical domain across multiple teams

Deep SQL Server expertise and administration: internals, performance at scale, high availability and disaster recovery architecture, and capacity planning, including experience as the final escalation point for SQL Server problems SQL Server on Linux and Kubernetes: has designed, not only operated, stateful data-intensive workloads on Kubernetes using Stateful Sets, persistent volumes, and pod quality of service

Deep AWS experience across Elastic Kubernetes Service, Elastic Compute Cloud, Elastic Block Store, Simple Storage Service, Identity and Access Management, and networking, with the ability to reason about cost and reliability together

Lakehouse architecture experience:
Apache Iceberg or Delta Lake in production, catalog strategy (AWS Glue, S3 Tables, Polaris, Unity), compaction, and table maintenance

Replication and change data capture architecture at scale, including failure and recovery modes; estate-wide operational standards covering configuration baselines, patch and cumulative update strategy, and integrity and maintenance regimes

Database security and compliance architecture: encryption, access control, auditing, and key management; architectural influence without authority through request for comment documents or standards adopted beyond own team Strong backend engineering in C#/.NET with the ability to write and review production code; excellent written communication for a distributed engineering team Preferred: backup, disaster recovery, and storage architecture on AWS including tested cross-region recovery;

streaming and integration at platform scale using Kafka, Debezium, AWS Database Migration Service, and Spark; infrastructure as code and Git Ops at platform scale; data lifecycle management including partitioning, archival, and retention for very large databases; working knowledge of Java Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.

Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

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

Responsibilities

Set the technical direction and long-term roadmap for Moody's Insurance Solutions data platform, driving architecture standards and reliability across engineering teams.

Own the reference architecture: topology, high availability…