Software Engineering Lead

S&P Global; Princeton (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health care coverage

Flexible downtime

Continuous learning resources

Competitive pay

Retirement planning

Continuing education program

Company-matched student loan contrib.

Financial wellness programs

Family friendly perks

Retail discounts

Referral incentive awards

Job summary

S&P Global in Princeton, NJ seeks an engineering leader to design and develop high‑performance calculation engines and services for fixed income indices. You will mentor a team of engineers while integrating AI‑driven solutions to boost data processing, reliability and system scalability in a cloud‑native environment.

The role requires 10+ years of enterprise Java experience, deep Spring and AWS expertise, and a proven ability to deploy AI/ML models into enterprise platforms.

Qualifications

• Requires 10+ years of enterprise Java development with Spring, AWS, and distributed systems.
• Proven design experience in fixed income systems and deploying AI/ML models into enterprise platforms.
• Mentor a team and lead design/development of high-performance calculation engines.

Responsibilities

• Lead design and development of high-performance calculation engines and services for fixed income indices.
• Mentor a team of engineers and guide technical decision-making.
• Integrate AI-driven solutions to enhance data processing and system scalability.

Skills

Java 17/21

Spring Boot

Microservices

Kafka

AWS

SQL

NoSQL

AI/ML Integration

Fixed Income Analytics

System Design

Agile Methodologies

JVM Tuning

RESTful API

Kotlin

Scala

Distributed Systems

Tools

Kafka

SQL

NoSQL

JVM Tuning

Job description

Lead the design and development of high-performance calculation engines and services for fixed income indices. Mentor a team of engineers while integrating AI-driven solutions to enhance financial data processing and system scalability.

Requirements: Requires 10+ years of enterprise Java development experience with deep expertise in Spring, AWS, and distributed systems. Proven experience in fixed income system design and the ability to deploy AI/ML models into enterprise platforms is essential.

Key Skills: Java 17/21, Spring Boot, Microservices, Kafka, AWS, SQL, NoSQL, AI/ML Integration, Fixed Income Analytics, System Design, Agile Methodologies, JVM Tuning, RESTful API, Kotlin, Scala, Distributed Systems

Benefits: Health care coverage, Flexible downtime, Continuous learning resources, Competitive pay, Retirement planning, Continuing education program, Company-matched student loan contribution, Financial wellness programs, Family friendly perks, Retail discounts, Referral incentive awards