Grasshopper Tech Stack

Quantitative trading technology platform with in-house infrastructure

Financial Services Singapore, Singapore 51–200 employees Founded 2006 Privately Held

Grasshopper operates a proprietary trading and market-making platform built entirely in-house, running on GCP and AWS with Kubernetes orchestration and a heavy embedded systems layer (Verilog, SystemVerilog, FPGA tools). The tech stack reveals a latency-sensitive operation: Python and Go for core logic, coupled with low-level networking (TCP/UDP), real-time monitoring (Prometheus, ELK), and hardware synthesis tools (Altera, Xianlor, ModelSim). Current project focus spans market-data processing, order routing optimization, and risk-system scaling—all tied to the stated pain point of production reliability and performance under load.

Tech Stack 37 technologies

Core StackPython Kubernetes GitLab CI/CD AWS Go Puppet Ansible Prometheus Elasticsearch C++ Linux GCP Argo CD Argo Workflows Chef Logstash Kibana Red Hat SystemVerilog Verilog Altera Xilinx ModelSim Ethernet TCP UDP C Bash Tcl Perl+7 more

What Grasshopper Is Building

◆Challenges

Tight hiring timelines
Scaling risk systems
Scaling research cluster
Production system reliability
High availability
Supporting more exchange protocols
Optimisation of trading systems
Performance and latency
Improving existing system

▲Active Projects

Efficient processing of market data to provide real-time insights for trading decisions
Efficient routing of orders to optimise trade execution and minimise latency
Recruitment dashboards for data and reporting
Building efficient frameworks and tooling for algorithmic trading strategies
Scaling risk systems
In-house platform development
Real-time risk model development
Var framework implementation
Stress testing framework
Research and batch computing platform

Hiring Activity

Decelerating10 roles · 3 in 30d

Department

Engineering

Ops

Risk

Seniority

Mid

Senior

Intern

Junior

Staff

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About Grasshopper

Grasshopper is a quantitative trading technology provider headquartered in Singapore, operating proprietary trading and market-making operations since 2006. The company develops and maintains an in-house electronic trading platform serving equities markets, with stated focus on high-frequency trading and algorithmic strategy execution. Staffed at 51–200 employees with concentrated engineering and trading functions, Grasshopper operates profitably across multiple asset classes. Active projects center on real-time market-data ingestion, trade-execution routing, risk modeling, and research infrastructure scaling.

HeadquartersSingapore, Singapore

Company Size51–200 employees

Founded2006

Hiring MarketsSingapore

Frequently Asked Questions

What tech stack does Grasshopper use?

Python, Go, C++, and Bash for core applications; GCP and AWS for cloud infrastructure; Kubernetes and Argo CD for orchestration; Prometheus, Elasticsearch, and Logstash for observability; Verilog, SystemVerilog, and FPGA tools (Altera, Xilinx, ModelSim) for hardware-accelerated trading logic.

What is Grasshopper working on?

Real-time market-data processing, order-routing optimization to minimize latency, risk-system scaling, algorithmic trading frameworks, VAR implementation, stress testing, and a research and batch computing platform. Production reliability and system performance are stated priorities.