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Federal Reserve Bank of St. Louis Tech Stack

Central banking infrastructure for monetary policy, financial supervision, and economic data services

Banking St Louis, Missouri 1,001–5,000 employees Founded 1914 Nonprofit

The St. Louis Fed operates critical national infrastructure: monetary policy execution, financial institution supervision across eight states, and public APIs serving billions of time-series economic data points. The stack is AWS-native (GovCloud, ECS, EKS, Lambda, RDS) with Java/Spring Boot and TypeScript backends — a cloud-modernization posture reinforced by active projects decommissioning a legacy monolith into microservices while maintaining FedRAMP High compliance. Senior engineering hiring (4 roles) focused on scalable data architecture and high-availability APIs signals pressure to handle traffic spikes during economic events and global demand on FRED datasets.

Tech Stack 33 technologies

Core StackAWS AWS Lambda AWS RDS CloudFormation Java TypeScript Angular GitLab CI/CD Grafana CloudWatch PHP Laravel JavaScript Docker PostgreSQL React Bootstrap GitLab Go Python AWS GovCloud AWS ECS AWS EKS EventBridge Aurora AWS CDK Spring Boot OpenSearch Twig

What Federal Reserve Bank of St. Louis Is Building

Challenges

  • Designing scalable data platforms
  • Managing massive time-series data
  • Scaling to meet global demand
  • Handling traffic spikes during economic events
  • Lack of examiner commission
  • Replacing legacy monolith with cloud-native services
  • Maintaining fedramp high compliance
  • Reducing technical debt through dependency upgrades
  • Policy compliance

Active Projects

  • Consumer compliance examinations
  • Modernizing data architecture for fred
  • Scalable storage architecture for billions of time-series
  • Metadata schema development for dataset discoverability
  • High-availability public apis and data services
  • Large-scale time-series datasets and historical revisions
  • Examination reporting
  • Modernization of legacy monolith to cloud-native services
  • Design and implement microservices
  • Build solutions using aws govcloud services

Hiring Activity

Accelerating9 roles · 8 in 30d

Department

Engineering
4
Legal
2
Data
1
Research
1
Security
1

Seniority

Senior
7
Manager
1
Mid
1
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About Federal Reserve Bank of St. Louis

The Federal Reserve Bank of St. Louis is one of 12 regional Reserve banks operating under the U.S. Federal Reserve System. It serves the Eighth District (Arkansas, Illinois, Indiana, Kentucky, Mississippi, Missouri, Tennessee) and executes monetary policy, supervises and examines financial institutions, maintains the payments system, and provides economic data and research. The organization operates FRED (Federal Reserve Economic Data), a public time-series database accessible via API. Internal operations span economic research, policy analysis, bank examinations, and financial services to member institutions. The organization employs 1,001–5,000 staff across engineering, legal, data science, research, and security functions.

HeadquartersSt Louis, Missouri
Company Size1,001–5,000 employees
Founded1914
Hiring MarketsUnited States

Frequently Asked Questions

What cloud platform does the Federal Reserve Bank of St. Louis use?

AWS, including AWS GovCloud for compliance-sensitive workloads. Core services: ECS, EKS, Lambda, RDS, Aurora, CloudFormation, and CDK. All deployments meet FedRAMP High standards.

What is FRED and how does it work?

FRED is the Federal Reserve Economic Data service—a public repository of billions of time-series datasets. The St. Louis Fed is modernizing its data architecture and APIs to meet global demand and handle traffic spikes during economic announcements.

How this profile is built

Federal Reserve Bank of St. Louis's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.