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Trading Technologies Tech Stack

Multi-asset trading platform for capital markets execution and risk management

Software Development Chicago, Illinois 201–500 employees Founded 1994 Privately Held

Trading Technologies operates a SaaS platform connecting global exchanges and liquidity venues for derivatives, fixed income, FX, and crypto trading. The tech stack is heavily AWS-native (Kubernetes, Lambda, RDS, MSK, EKS) with Python and C++ at the core, and the company is actively migrating away from VMware while adopting Backstage—signaling infrastructure modernization. Engineering dominates the 22-person hiring pipeline (16 roles, mostly senior), paired with concurrent investment in telemetry, monitoring, and incident automation, revealing a push toward operational resilience in a latency-critical domain.

Tech Stack 82 technologies

Core StackAWS Python Terraform Kubernetes Docker ServiceNow Slack Confluence NetSuite Selenium Playwright C++ Go React Flask Celery Kafka AWS Lambda CloudWatch AWS RDS Chef Google Gemini Red Hat Enterprise Linux AWS CDK Pact Litestar AWS MSK AWS EKS AWS ECS AWS Elastic Load Balancing+50 more
AdoptingBackstage
ReplacingVMware

What Trading Technologies Is Building

Challenges

  • Memory bottlenecks
  • Reducing mttr
  • Legacy system performance optimization
  • Legacy system maintenance
  • Legacy vmware datacenter removal
  • Managing unapplied cash
  • Eliminating platform failures
  • Maintaining low-latency reliability
  • Reducing days sales outstanding
  • Aws footprint modernization

Active Projects

  • Performance and memory optimization of core trading platform
  • Telemetry and real-time monitoring tools
  • Telemetry and logging tool development
  • Advanced telemetry and automation tooling
  • Incident response runbooks and automated remediation workflows
  • Backstage platform development
  • Real-time decision-making for compliance professionals
  • Pricing models integration
  • Price generation system
  • Advanced monitoring software

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
16
Sales
2
Finance
1
Legal
1
Support
1

Seniority

Senior
14
Mid
5
Junior
2
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About Trading Technologies

Trading Technologies provides a SaaS platform for trade execution, order management, market data, analytics, risk management, clearing, and post-trade operations across listed derivatives, fixed income, FX, and cryptocurrencies. The customer base spans Tier 1 banks, brokers, hedge funds, proprietary traders, and exchanges globally. The platform connects to major international exchanges and liquidity venues and integrates with complementary technology partners through an ecosystem model. Founded in 1994 and headquartered in Chicago, the company serves as the operational backbone for end-to-end trading workflows at leading sell-side and buy-side institutions.

HeadquartersChicago, Illinois
Company Size201–500 employees
Founded1994
Hiring MarketsCzechia, United Kingdom

Frequently Asked Questions

What tech stack does Trading Technologies use?

Core: Python, C++, Go, React. Infrastructure: AWS (EKS, ECS, RDS, Lambda, MSK, Kafka, CloudWatch). DevOps: Kubernetes, Docker, Terraform, Chef. Observability: Slack, Confluence. Testing: Selenium, Playwright, Pact. Currently adopting Backstage and migrating off VMware.

What is Trading Technologies working on?

Core focus: performance and memory optimization of the trading platform; real-time telemetry, logging, and monitoring tools; incident response automation and remediation workflows; Backstage internal developer platform adoption; compliance decision systems; AWS footprint modernization and VMware datacenter removal.

How this profile is built

Trading Technologies'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.