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Manager of Performance Engineering

NEW YORK-10005, NY, US
08/20/2019

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Required Skills

scripting languages

Company

Infinity Consulting Solutions, Inc

Experience

5 to 7 Year(s)

Job Description

Candidate is responsible for the implementation and management of the application capacity and performance management framework for all subsidiaries.

Candidate 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.

Responsibilities

Capacity & Performance Management Framework

Establish and maintain a comprehensive application performance management framework

Drive alignment around CPM best practices, including service design and performance assessment, data collection and analysis, and reporting standards

Engage technical product teams to integrate their performance management activities into that framework

Data Acquisition & Analysis

Collaborate with the development and infrastructure teams on platform design, implementation, and data flows

Identify data requirements and metrics to support the monitoring and reporting of system capacity and performance

Onboard new 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

Business Intelligence Dashboards & Reporting

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

Regularly report on capacity and performance to senior business leadership and product teams
Project Management

Develop and manage a roadmap that supports both enterprise project deliveries and CPM continuous improvement projects

Maintain a running log of all project activities and report status to management

Organize and prioritize tasks to ensure timely implementation of assigned projects
Recruiting & Staff Management

Lead, recruit, develop and retain high-caliber talent

Knowledge and Experience

5+ 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 and forecasting

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)

Understanding of network protocols such as TCP/IP and Multicast data flow

A high impact individual with deep technology background and the ability to engage in high bandwidth conversations with engineers and executives alike

A team player with a passion for building a culture of innovation and flawless execution

Demonstrated ability to lead, recruit, grow and retain high-caliber talent at scale

Long-term strategic thinking and staying ahead of state-of-the-art curve in order to keep abreast with what's possible technically, operationally and professionally

Capable of forming and advocating an independent viewpoint

Demonstrated strong skills influencing, negotiating and communicating

Skilled at both verbal and written communication

Excellent project management skills

Bachelor's Degree in Computer Science or related field

Prior experience in systems software development and deployment on diverse platforms preferred

Prior experience in building systems software in domains that require high through-put and low latency preferred

Proven experience in managing or supporting High Frequency/Trading applications preferred

Experience with big data analysis on parallel processing query engines and data sources such as Hadoop,
Impala, or comparable technologies preferred

Experience using Grafana or Tableau for BI dashboards and visualization preferred