Capacity & Performance Management Lead Analyst
The
New York Stock Exchange (an Intercontinental Exchange company) is seeking a results oriented, self-motivated individual to join the
Technology Capacity and Performance Management (CPM) team in New York. This individual will be joining a team
working in a cutting edge high throughput, low latency trading environment. The NYSE CPM department is responsible for the
implementation and management of the application capacity and performance
management framework for all NYSE Group subsidiaries. CPM engages with product teams to assess
current capacity and planning capabilities, define monitoring data requirements
and metrics, perform data collection an analysis, and monitor and forecast
system performance and capacity.
The successful candidate is required to demonstrate technical problem solving and communication skills, as well as the ability to comfortably multitask and work in a mission critical environment.
- Identify data requirements and metrics to support the monitoring and reporting of system capacity and performance
- Onboard new tools and data sets and perform the requisite data transformations and analytics to support CPM monitoring and reporting
- Use statistical analysis and modeling skills to monitor trends and model future capacity needs
- Provide assistance with production investigations and resolution of technical issues and/or problems impacting business services or individual customers
- Collaborate with technology leads to develop system changes designed to improve capacity and performance
- Establish and maintain dashboards and reports showing current and projected capacity and performance for all business services and applications
- Develop customized reports for product teams to support service delivery and customer engagement
- Bachelor’s degree in Computer Science or related field
- 3 or more years of experience in Performance Engineering and Capacity Planning of highly available and scalable application infrastructures
- Experience using databases and statistical modeling techniques to perform data analysis techniques
- Experience with high level scripting languages (e.g. Python) to support data analysis and reporting
- Experience with business intelligence or data visualization platforms (e.g. Tableau, Splunk)
- Understanding of network protocols such as TCP/IP and Multicast data flow
- A team player with a passion for building a culture of innovation and flawless execution
- Capable of forming and advocating an independent viewpoint
- Excellent communications skills
- Prior experience in systems software development and deployment on diverse platforms desirable
- Prior experience with high through-put and low latency systems, particularly High Frequency/Trading applications desirable
- Experience with big data analysis on parallel processing query engines and data sources such as Hadoop, Impala, or comparable technologies desirable
- Experience using Grafana or Tableau for BI dashboards and visualization desirable