Senior Backend Engineer — AI-Driven Insurance Analytics

Moody's Investors Service; Newark (CA); On-site; USD 140,000 - 203,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Parental leave

PTO

401(k) plan

Life insurance

Disability insurance

Employee stock purchase plan

Tuition reimbursement

Job summary

Moody's Investors Service is seeking a skilled backend engineer to design and deliver scalable software powering advanced insurance analytics. You will build robust backend systems, develop extensible services, and collaborate with product, data science, and ML teams to translate business requirements into technical solutions.

Applicants should have strong Python/SQL expertise, experience with AI-driven workflows, and a track record of delivering reliable, scalable back-end code in a fast-paced

Qualifications

• Expertise in Python and SQL with scripting languages such as Ruby.
• Hands-on AI experience to streamline workflows and improve efficiency.
• Strong ability to design scalable, maintainable backend code.

Responsibilities

• Design and deliver scalable back-end software solutions for insurance analytics.
• Build and maintain robust back-end systems powering analytics applications.
• Design, build, and maintain extensible back-end services and web apps.
• Participate in technical design discussions across the back-end stack.
• Perform code reviews and ensure quality standards.
• Develop and maintain unit and end-to-end tests.
• Collaborate with product, data science, and ML teams to translate requirements.
• Evaluate new tools and technologies to improve the stack.
• Own critical components of back-end development.

Skills

Python

SQL

Ruby

AI concepts

Backend design

Scalability

Communication

GIS

Education

Bachelor's in STEM

Master's in STEM

PhD in STEM

Job description

Moody's Investors Service is seeking a skilled backend engineer to design and deliver scalable software powering advanced insurance analytics. You will build robust backend systems, develop extensible services, and collaborate with product, data science, and ML teams to translate business requirements into technical solutions.

Applicants should have strong Python/SQL expertise, experience with AI-driven workflows, and a track record of delivering reliable, scalable back-end code in a fast-paced