S&P Global Tech Stack

Financial intelligence and data platform for capital markets, energy, and ESG

Financial Services New York, NY 10,001+ employees Public Company

S&P Global operates a sprawling financial intelligence ecosystem across capital markets, commodities, energy, and ESG—serving institutional investors, corporations, and governments. The tech stack reveals a mature hybrid cloud strategy: heavy Python/Java/Spring backend with Oracle migration underway (moving to PostgreSQL/AWS), coupled with aggressive cloud-native adoption (Kubernetes, Lambda, GCP Vertex AI) and emerging ML infrastructure (TensorFlow, SageMaker). Active hiring across engineering, sales, and data teams, plus visible scaling toward automation and platform consolidation (Salesforce migrations, ETL pipeline work, RAG applications), suggests they're refactoring legacy monoliths while building AI-augmented advisory surfaces.

Tech Stack 200 technologies

Core StackPython C# Java PL/SQL AWS Docker GitLab GitLab CI/CD TensorFlow SageMaker PostgreSQL Jenkins GitHub Actions Pandas NumPy Salesforce Spring Oracle Angular Oracle Database Linux Spring Boot SQL Git Pydantic HTML5 CSS Jakarta EE JMS ActiveMQ+170 more

AdoptingAWS Terraform Kubernetes AWS Lambda SAFe GCP Google Cloud Functions Google Cloud's Vertex AI+9 more

ReplacingOracle Informatica

What S&P Global Is Building

◆Challenges

Ensuring compliance with regulations
Streamlining processes
Improving user efficiency
Reducing duplication
Identifying growth opportunities
Ai data risk
Separating mobility segment
Risk mitigation
Transitional service agreement exit
Reducing risk

▲Active Projects

Rag applications
Hr data governance
Onboarding private equity clients to ilevel platform
Automation initiatives
Platform migration
Build and evolve payroll operations within a new shared services model
Automotivemastermind events
Etl pipeline development
Seo and geo blog lifecycle
Building salesforce reports

Hiring Activity

Steady1,700 roles · 650 in 30d

Department

Engineering

339

Sales

242

Data

209

Ops

140

Finance

121

Research

Marketing

Product

Seniority

Senior

618

Mid

350

Lead

172

Director

153

Junior

119

Manager

Intern

Principal

Notable leadership hires: Associate Director, Data Lead, Sales Director, RegOps Lead, Managed Services Team Lead

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About S&P Global

S&P Global is a public financial services company (NYSE: SPGI) headquartered in New York that provides data, benchmarks, credit ratings, and risk intelligence to capital markets, commodities, energy, and public/private finance sectors. The company operates at scale across 25+ countries with over 10,000 employees, serving the world's leading institutional and corporate clients. Core offerings span credit assessments, portfolio risk solutions, ESG frameworks, and commodities benchmarks; the business model combines advisory services, proprietary data subscriptions, and SaaS platform access. Current operational priorities center on compliance automation, process streamlining, data governance, and onboarding enterprise clients onto unified platforms—alongside significant cloud infrastructure modernization and separation of business segments.

HeadquartersNew York, NY

Company Size10,001+ employees

Hiring MarketsUnited Kingdom, India, Poland, Japan, United States, Spain, Canada, Malaysia

Frequently Asked Questions

What tech stack does S&P Global use?

Primary: Python, Java, Spring Boot, SQL, PostgreSQL, Oracle Database, AWS, Docker, and Git/GitLab. Adopting: AWS Lambda, Kubernetes, GCP, Terraform, Google Cloud's Vertex AI. Replacing Oracle and Informatica with cloud-native alternatives.

What is S&P Global working on?

Key initiatives: RAG applications, ETL pipeline development, Salesforce report building, platform migrations, automation of compliance and payroll operations, HR data governance, and onboarding enterprise private equity clients to unified platforms.