Lead Software Engineer — Fixed Income Platform

S&P Global; Princeton (NJ); On-site; USD 110,000 - 200,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

S&P Dow Jones Indices in Princeton, New Jersey seeks an experienced software engineer to design and implement high-performance calculation engines for fixed income indices, handling large-scale financial data.

You will work in an Agile, product-focused team, mentor others, modernize systems, and balance latency with throughput while collaborating across data science, engineering and product to deliver reliable analytics.

Qualifications

• 10+ years of software development experience with languages such as Java, C#, Python, or Scala.
• Experience with distributed systems, caches and microservices patterns (Spring Boot, JPA).
• Proficiency with AWS, Azure, or Google Cloud.
• Extensive experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
• Expertise in fixed income system design and instrument analytics.
• Strong Agile development and product lifecycle knowledge.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Responsibilities

• Design and develop high-performance calculation engines and services for fixed income indices processing large-scale financial data.
• Collaborate with cross-functional teams to implement scalable solutions for critical operations and client needs.
• Drive technical excellence through code reviews, architecture discussions, and reliability best practices.
• Work within Agile cycles to deliver features for the fixed income platform and industry standards.
• Mentor junior developers and contribute to team growth via knowledge sharing and pair programming.
• Lead modernization initiatives, new technologies, and performance improvements.
• Architect and oversee engines for index production and large-scale analytics, balancing latency, throughput, cost, and correctness.
• Lead, mentor, and grow a team of engineers; set expectations on technical quality and quantitative rigor.
• Implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability and versioning across analytics models.

Skills

10+ years of software development

Distributed systems

Cloud platforms

SQL & NoSQL databases

Fixed income system design

Education

Bachelor's degree in CS/Engineering or related field

Tools

Docker

Kubernetes

OpenShift

Jenkins

GitLab CI

Azure DevOps

Job description

S&P Dow Jones Indices in Princeton, New Jersey seeks an experienced software engineer to design and implement high-performance calculation engines for fixed income indices, handling large-scale financial data.

You will work in an Agile, product-focused team, mentor others, modernize systems, and balance latency with throughput while collaborating across data science, engineering and product to deliver reliable analytics.