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IC Markets Tech Stack

Multi-asset trading platform with MetaTrader and cTrader connectivity

Financial Services Sydney, NSW 51–200 employees Founded 2007 Privately Held
icmarkets.com LinkedIn

IC Markets operates a forex and CFD brokerage serving retail and institutional traders across multiple regions. The tech stack—.NET Core + C# backend, React/Next.js frontend, Kafka + RabbitMQ for event streaming, and observability via OpenTelemetry/Prometheus—reveals an infrastructure-forward engineering organization scaling toward lower-latency execution. Active adoption of n8n and OpenAI API, paired with projects around AI-assisted testing and real-time risk dashboards, signals movement into automation and predictive risk monitoring. Hiring velocity is accelerating with a 10:4:3 senior-to-mid-to-junior ratio, heavily weighted toward engineering (6 roles) and finance/legal (3 each), suggesting both platform modernization and regulatory complexity.

Tech Stack 93 technologies

Core StackC# Kafka RabbitMQ OpenTelemetry Prometheus Grafana AWS Adobe Premiere Pro After Effects Canva Figma Python NumPy pandas scikit-learn React Next.js Node.js Playwright TypeScript NET Core AWS SQS Kibana statsmodels SASS LESS Azure MetaTrader 4 MetaTrader 5 cTrader+56 more
Adoptingn8n OpenAI API

What IC Markets Is Building

◆Challenges

  • Reconciling trading costs
  • Troubleshooting latency discrepancies
  • Optimizing customer journeys
  • Workflow automation initiatives
  • Automating operational processes
  • Localizing global campaigns
  • Compliance alignment
  • Maintaining automation frameworks
  • Validating platform behaviour under peak traffic
  • Embedding shift-left testing culture

▲Active Projects

  • Operational improvements rollout
  • Fix api integration support
  • Customer journey optimization
  • Crm integration
  • Regional marketing plans
  • Multi-channel performance campaigns
  • Community engagement programs
  • Ai-assisted testing workflow implementation
  • Load and stress testing suite design
  • Real-time risk dashboards

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
6
Finance
3
Legal
3
Ops
2
Design
1
Marketing
1
Product
1
Risk
1

Seniority

Senior
10
Mid
4
Junior
3
Manager
1
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About IC Markets

IC Markets is a privately held online trading provider founded in 2007, headquartered in Sydney and operating across Australia, Cyprus, Malaysia, and the UAE. The company connects retail and institutional clients to forex, CFDs, and commodity markets via MetaTrader 4/5 and cTrader terminals. The engineering organization runs a cloud-native stack on AWS and Azure with streaming pipelines (Kafka, RabbitMQ) and full-stack JavaScript/TypeScript for client-facing applications. Current operational focus spans API reliability, customer journey analytics, CRM integration, compliance alignment, and platform resilience under peak load—typical for a regulated multi-region brokerage managing execution risk and latency-sensitive order flow.

HeadquartersSydney, NSW
Company Size51–200 employees
Founded2007
Hiring MarketsCyprus, Malaysia, United Arab Emirates

Frequently Asked Questions

What tech stack does IC Markets use?

Backend: .NET Core, C#, Kafka, RabbitMQ, AWS SQS, OpenTelemetry, Prometheus, Grafana, Kibana. Frontend: React, Next.js, Node.js, TypeScript, SASS. Data/ML: Python, NumPy, pandas, scikit-learn. Terminals: MetaTrader 4, MetaTrader 5, cTrader. Cloud: AWS, Azure.

What is IC Markets working on?

Operational improvements, API integration fixes, customer journey optimization, CRM integration, real-time risk dashboards, AI-assisted testing workflows, and load/stress testing infrastructure to improve platform stability and compliance.

How this profile is built

IC Markets'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.