Software Performance Analyst
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- Software Engineering
- Professional
Software Performance Analyst
-
- Software Engineering
- Professional
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
Your Impact:
Be a part of the world-class team that influences the future expansion of next-generation cloud solutions for speed, scale, and high availability.
Come join an exciting public cloud offering development team. In this role, you will get to work with a dedicated and creative group of people who are some of the most talented in the industry. Day to day you will be working in a dynamic Agile environment and integrating high performance software solutions into the IBM Public Cloud and other cloud solutions.
- 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.
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About IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
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