A

Axi Tech Stack

Multi-regulated FX broker serving traders and financial institutions across 100+ countries

Financial Services North Sydney, NSW 201–500 employees Founded 2007 Privately Held

Axi is a multi-regulated FX broker operating across Australia, New Zealand, UK, UAE, and the Caribbean, serving thousands of retail and institutional clients. The tech stack is deeply Azure-native (.NET Core, Kubernetes, Synapse, Cosmos DB, Data Lake Storage) with a modern observability layer (Application Insights, JMeter, k6), paired with active investment in data infrastructure (Databricks, Delta Lake, real-time pipelines). Current hiring velocity is accelerating across engineering and product—primarily senior-level roles in India and Cyprus—while the project backlog reveals a company actively hardening microservices performance, building trading-specific observability, and implementing enterprise data governance frameworks.

Tech Stack 43 technologies

Core StackReact React Native Kubernetes Docker Terraform ArgoCD SQL Server Databricks Azure Data Factory Delta Lake Apache Spark Collibra NET Core Azure Azure Kubernetes Service Azure Resource Manager Azure Pipelines Flux Azure Service Bus Event Grid Azure Cosmos DB Azure Key Vault Application Insights Data Lake Storage Azure Data Lake Storage Gen2 Azure Synapse Azure Event Hubs Purview JMeter k6+13 more

What Axi Is Building

◆Challenges

Identifying performance bottlenecks
Optimizing microservices performance
Capacity planning for critical services
Improving transaction flows
Payment experience optimization
User acquisition and retention
Client complaint management
Ensuring reliable execution quality
Maintaining stable connectivity
Optimizing liquidity pricing

▲Active Projects

Define architecture blueprints for .net core microservices, react/react native frontends, and azure cloud infrastructure
Design high-availability, low-latency systems for trading platforms
Establish observability standards across the organization
End-to-end data platform architecture
Real-time data pipelines for trading and risk
Data governance framework implementation
Performance testing for .net core microservices
Building performance dashboards with application insights and prometheus
Defining performance budgets and slos for critical services
Payment integrations

Hiring Activity

Accelerating9 roles · 9 in 30d

Department

Engineering

3

Product

3

Support

2

Ops

1

Seniority

Senior

6

Mid

3

Company intelligence

Find more companies like Axi by tech stack, pain points and active projects

Get started free

About Axi

Axi operates as a global multi-regulated foreign exchange and CFD broker licensed in four jurisdictions (Australia, New Zealand, UK, UAE). The company serves retail traders, trading businesses, banks, and financial institutions looking for execution speed and market data. Founded in 2007 and headquartered in North Sydney, Axi has built a platform spanning forex and CFD trading products with customer presence across over 100 countries. Core operational focus includes transaction reliability, liquidity pricing optimization, and risk management—reflected in active development around real-time data pipelines, payment integrations, and performance monitoring infrastructure.

HeadquartersNorth Sydney, NSW

Company Size201–500 employees

Founded2007

Hiring MarketsIndia, Cyprus

Frequently Asked Questions

What tech stack does Axi use?

Axi runs .NET Core and React/React Native on Azure cloud infrastructure, with Kubernetes and Docker for orchestration. Data platform uses Databricks, Delta Lake, Azure Synapse, and Data Lake Storage. Observability built on Application Insights, Prometheus, JMeter, and k6.

What is Axi working on?

Current projects focus on .NET Core microservices architecture, real-time trading and risk data pipelines, high-availability low-latency platform design, data governance frameworks, performance dashboards, payment integrations, and observability standards across the organization.

How this profile is built

Axi'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.