Senior Engineer

About the role

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 in performance. Identify system, hardware and software vulnerabilities and compare the performance changes after suitable patches are applied Monitoring the computing & reporting performance of all applications Design the monitoring framework for capturing system and software performance Create a reporting and analytics tool to routinely report performance to stakeholders Create an alert generation framework for reporting deviation in performance after changes Analyze system behavior to fully characterize system components (e.g., the behavior of OS, virtual machines, CPU, I/O subsystems, memory modules, and networks) as well as application behavior. Develop software to gather performance statistics from operating system for all subsystems including disk, I/O, CPUs, memory, network Determine change in application behavior based on delta in parameters Analyze and benchmark system characteristics and its impact on Redline InRush and Execution Gateway Software performance. Characterize behavior of Redline Software on virtual machines and compare with physical hardware across generatio

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