Lead Software Engineer – Fixed Income & AI Platforms

S&P Global, Inc.

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

S&P Global Dow Jones Indices is seeking a Lead Software Engineer to build and maintain scalable fixed income platforms. You will lead design efforts, contribute hands-on development, and mentor a team of engineers across cross-functional groups.

You will drive AI-driven analytics, ensure data lineage and auditability, and continuously modernize our technology stack in a fast-paced Agile environment. This role requires deep expertise in enterprise Java, distributed systems, and cloud-native

Qualifications

  • 10+ years of software development experience with Enterprise Java Development: Java 17/21 or equivalent JVM languages.
  • Enterprise Framework Experience: Spring ecosystem or comparable frameworks.
  • Distributed Systems Architecture: Microservices, REST, and message brokers like Kafka/RabbitMQ.
  • AI Engineering: hands-on experience building AI/ML models in enterprise software.
  • Cloud proficiency: AWS, Azure, or Google Cloud.
  • SQL/NoSQL databases including PostgreSQL, MongoDB, Cassandra.
  • Fixed income system design and analytics experience.
  • Agile methodologies和product lifecycle.

Responsibilities

  • Design and develop high-performance calculation engines for fixed income indices.
  • Lead architecture discussions and establish best practices for reliability.
  • Mentor junior engineers and drive platform modernization.
  • Architect analytics services balancing latency, throughput, and cost.
  • Implement end-to-end data lineage, reconciliation, and auditability.

Skills

Enterprise Java
Distributed systems
Microservices
AI/ML integration
AWS cloud
SQL/NoSQL
Data lineage/auditability

Tools

Docker
Kubernetes
OpenShift
Jenkins
GitLab CI

Job description

S&P Global Dow Jones Indices is seeking a Lead Software Engineer to build and maintain scalable fixed income platforms. You will lead design efforts, contribute hands-on development, and mentor a team of engineers across cross-functional groups.

You will drive AI-driven analytics, ensure data lineage and auditability, and continuously modernize our technology stack in a fast-paced Agile environment. This role requires deep expertise in enterprise Java, distributed systems, and cloud-native

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