Software Performance Analyst

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities

• Previous experience in software development. You will be familiar with cloud-based solutions and have the ability to drill down the cloud software and hardware stack to isolate performance issues.
• Utilize sound methodology & sophisticated techniques to analyze large volumes of data and improve the performance of internal and external cloud components.
• Operate independently within a high functioning team environment.
• Work with other performance and development engineers be able to identify issues and develop prototypes and solutions.
• Review and understand the use cases specifications and requirements of each Statement of Work.

Required Technical and Professional Expertise

• Strong skills in programming and scripting languages: Python Golang C/C++ Bash/Shell
• Experience in analyzing and debugging software/hardware performance and scalability issues
• Understand performance measurement & analysis methodology including load generation profiling and analysis tools
• Understanding of OS concepts such as virtualization memory management I/O scheduling
• Understanding of computer architecture fundamentals
• Detail working knowledge of at least one: Networking Storage Data Plane Control Plane

Preferred Technical and Professional Expertise

• Experience with Kubernetes micro-services architecture and Docker containers
• Familiarity with hardware accelerators such as GPUs and FPGAs.
• Experience with Software Defined Networking (VXLAN QoS VIPs etc…)
• Familiarity with statistical data analysis and visualization tools/libraries (pandas scipy matplotlib)
• Understanding topics such as garbage collection data structures memory management multi-threaded programming
• Experience or Familiarity with Agile development processes.