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S&P Global

Delivers credit ratings, market data, indices

Associate Director - Software Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of software development experience with programming languages such as Java, C#, Python, or Scala.
  • Strong experience with distributed systems, distributed caches, and microservices architecture patterns and frameworks such as Spring Boot and JPA.
  • Proficiency with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Extensive experience with both SQL and NoSQL database technologies, including hands-on expertise in PostgreSQL, MongoDB, and Cassandra.
  • Demonstrated expertise in fixed income system design and instrument analytics.
  • Solid understanding of Agile development methodologies and the product development lifecycle.
  • A bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.

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 that support critical business operations and client needs.
  • Participate in code reviews and architecture discussions, and contribute to best practices for system reliability.
  • Work within Agile development cycles to deliver features that enhance the fixed income technology platform and align with emerging industry standards.
  • Mentor junior developers and contribute to the technical growth of the team through knowledge sharing and pair programming.
  • Lead initiatives to modernize existing systems and implement new technologies that improve performance and maintainability.
  • Architect and oversee high-performance calculation engines and services for index production and large-scale analytics, balancing latency, throughput, cost, and correctness.
  • Lead, mentor, and grow a team of engineers and quant-minded developers, and set clear expectations on technical quality and quantitative rigor.
  • Implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability, and versioning across analytics models, inputs, and outputs.

Desired Qualifications

  • Experience in financial services, particularly with fixed income securities, indices, or calculation engines.
  • Knowledge of containerization technologies such as Docker, Kubernetes, or OpenShift.
  • Experience with continuous integration and continuous delivery pipelines and DevOps practices using tools such as Jenkins, GitLab CI, or Azure DevOps.
  • Familiarity with performance optimization and high-frequency data processing systems.

About the Company

S&P Global

Delivers credit ratings, market data, indices

S&P Global provides financial information and analytics for investors, corporations, and governments, including credit ratings, market data, and indices. It compiles large financial data, conducts research, and offers analytics, ratings, and benchmarks accessed via subscriptions, licenses, or transaction-based services. The company differentiates itself with an integrated suite that covers ratings, data, analytics, indices, and ESG solutions across global markets, backed by well-known brands. Its goal is to help clients make informed decisions, manage risk, and drive growth while prioritizing corporate responsibility.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1917

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