Engineer
US$130,000 – US$200,000 / yr base salary
Posted 26 Jun 2026
Advertised as “Senior Engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
| Base salary | US$130,000 – US$200,000 / yr |
|---|
Pico fuels the global capital markets community by providing exceptional market data services and customized managed infrastructure solutions. As financial industry experts at the center of markets and technology, we help our clients efficiently scale their business and quickly access markets. From infrastructure to connectivity, we support our clients through the full trading lifecycle. We are a global company headquartered in New York, with offices in Chicago, London, Singapore, Hong Kong and Tokyo.
About Pico
Pico fuels the global capital markets community by providing managed infrastructure solutions and market data that enable clients to efficiently scale their businesses and rapidly access global markets.
As experts at the intersection of financial markets and technology, we deliver infrastructure, connectivity, cloud, and market data solutions that support clients throughout the entire trading lifecycle. Pico is headquartered in New York with offices in Chicago, Dublin, London, Belfast, Madrid, Krakow, Singapore, Seoul, Tokyo, and Sydney.
Purpose of the Role
Pico is seeking an experienced Sr. Engineer to manage and optimize the end-to-end latency for critical market data deployments.
Key Responsibilities of the role: (to include but not limited to)
- Analyze Latency Needs and the help in design, testing and developing Redline InRush software for market data and configure the software to meet those needs
- Collaborate with developers to optimize the software to reflect deployment use case and modify configurations to achieve latency objectives
- Optimize network topology to achieve lowest latency in network
Utilize experience with network modeling and simulation, and programming in C/C++ and Java to build automation tools for capacity measurement and capacity planning.
- Build models using Java to simulate what if scenarios for measuring capacity
- Automate capacity measurement and estimation using C/C++ to simulate network failures
- Measure current software capacity against performance thresholds
- Develop tools using programming in C/C++ and Java to measure and simulate capacity of the software and network
- Analyze trends and predict changes for future capacity expansion using prediction models and stochastic functions
Perform and record benchmark latency statistics using tools like VMWare and MYSQL.
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Create a variety of models using VMWare and other measurement frameworks to record performance and latency benchmark