Senior Software Engineer
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Before you apply
Salary$140k – $203k
LocationNewark, California, United States
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedOct 5, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
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
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
Skills
SQL Server
Linux
Kubernetes
AWS
Elastic Kubernetes Service
Elastic Compute Cloud
Elastic Block Store
Simple Storage Service
Identity and Access Management
Virtual Private Cloud
CloudWatch
C#
.NET
REST APIs
microservices
Terraform
Helm
Kafka
Debezium
AWS Database Migration Service
Spark
Apache Iceberg
Delta Lake
Java
Python
AI
Git
CI/CD
Benefits
Medical
Dental
Vision
Parental leave
Paid time off
401(k)
Life insurance
Disability insurance
Accident insurance
Employee stock purchase plan
Tuition reimbursement
About the company
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
•
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
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 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
About the Team
The Data Platform Team builds and operates the data services that power Moody’s Insurance Solutions products, including a self-hosted Microsoft SQL Server estate running on Linux and Kubernetes in AWS. The team owns that platform end to end — availability, performance, recoverability, and cost — and is building the change capture path that makes operational data available for analytics in our lakehouse. By joining our team, you will contribute to mission-critical infrastructure and help shape the responsible adoption of modern data and AI technologies across the organization.
Benefits
For US-based roles only: the anticipated hiring base salary range for this position is $139,800.00 - $202,800.00, 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 is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Legal
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 [email protected]. 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.