Staff Backend Engineer: Lead Scalable AI-Driven Platforms

Moody's; Newark (CA); On-site; USD 168,000 - 244,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Parental leave

Paid time off

401(k) plan

Life and disability insurance

Stock purchase plan

Tuition reimbursement

Job summary

Moody's is seeking a Staff Software Engineer to lead the design and delivery of complex, large-scale technical solutions while mentoring engineers and driving high-impact outcomes across multiple teams.

You will define multi-year technical strategies, deliver large-scale projects that meet quality and reliability standards, and align roadmaps with customer value. The Data Platform Engineering team focuses on scalable platforms using Java, C#, and SQL Server.

Qualifications

• 8 to 15 years of hands-on experience delivering high-impact, multi-team technical projects.
• Proficiency in Java, C#, Scala and relational databases with NoSQL experience.
• Production-quality RESTful APIs and microservices development experience.

Responsibilities

• Define and execute multi-year, multi-team technical strategies with measurable business impact.
• Deliver large-scale, high-stakes projects that exceed quality and reliability standards.
• Drive alignment across engineering teams to prioritize impactful customer outcomes.
• Influence technical roadmaps and strategic decisions through sound engineering judgment.
• Mentor engineers and foster a strong culture of technical excellence and growth.
• Design, build, and maintain scalable and resilient software architectures.
• Proactively identify, manage, and mitigate technical risks.

Skills

Java

C#

Scala

PostgreSQL

MySQL

SQL Server

Oracle

REST APIs

Microservices

Docker

Kubernetes

AI concepts

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Docker

Kubernetes

SQL databases

Job description

Moody's is seeking a Staff Software Engineer to lead the design and delivery of complex, large-scale technical solutions while mentoring engineers and driving high-impact outcomes across multiple teams.

You will define multi-year technical strategies, deliver large-scale projects that meet quality and reliability standards, and align roadmaps with customer value. The Data Platform Engineering team focuses on scalable platforms using Java, C#, and SQL Server.