Senior Engineer
Pico
| Company | Pico |
| Category | Engineering |
| Location | New York City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 26 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
Create a variety of models using VMWare and other measurement frameworks to record performance and latency benchmark
Store the results in MYSQL database for querying and retrieving performance benchmarks across different deployments
Map results from the MYSQL database against deployment Service Level Agreements and suggest corrective actions
Monitor and maintain client production computing networks and applications.
Ensure that the Redline InRush and Redline Execution Gateway software continues to function through changes and upgrades
Design each piece of the monitoring software to monitor Redline Software deployments and plan how the different pieces will work together
Gather requirements to create a real time alerting framework for critical customers and create high level design for the monitoring and alerting system
Perform routine maintenance and software upgrades
Approve network changes from vendors and ensure production environments are stable during changes
Run tests to benchmark scalability as well as identify bottlenecks and suggest scalability performance improvements.
Design repeatable and deterministic tests for benchmarking Redline Software scalability
Create framework for automatically running these tests with every release and every deployment
Analyze the results and suggest changes to the software and configuration based on results and findings of the test
Run repeatable and deterministic tests for Network performance and expansion. Suggest Networking changes based on changing patterns
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