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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?
Job Responsibility:
Develop, test and provide support for hardware, firmware and software that make up our industry-leading IBM Storage products
Participate in various aspects of the development, test, and support process
Work on the systems that are driving the quantum revolution and the AI era
Requirements:
Hold a Bachelor's or Master’s Degree in: Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or related majors
Prior (project or internship) experience in computer hardware or testing
Interest in backend software development and willingness to learn about high-end storage products
Academic or demonstrated experience developing software or support for software applications
Knowledge in Bash, Python, C/C++, Databases, Javascript, or REST APIs
Knowledge of the Linux operating system, including being comfortable using the command line interface
Firm grasp of software development methodologies (e.g., Agile, DevOps), CI/CD pipelines, version control (Git), and automated testing
Demonstrated ability to break down complex technical challenges, propose innovative solutions, and drive them to completion
Strong verbal and written communication skills
Passion for technology and engineering
Growth minded, trusted, team focused, courageous, resourceful, and outcome focused
Nice to have:
Proficiency in one or more of the following technology areas: Deep understanding of Python and experience developing software that interacts with hardware, preferably storage systems
Proven experience with Python libraries commonly used in storage management and data processing
Familiarity with storage concepts such as block storage, object storage, file systems, RAID configurations, and data integrity techniques
Experience working directly with storage hardware APIs or protocols (e.g., SCSI, NVMe command sets, vendor-specific APIs)
Proficiency in Python for tasks related to hardware testing and automation
Experience with developing Python-based tools for monitoring and managing storage performance and health
Knowledge of data serialization formats relevant to storage systems (e.g., JSON, YAML, Protocol Buffers)
Experience with Python in embedded systems or interacting with low-level hardware interfaces via libraries
Familiarity with performance analysis and optimization techniques in Python, particularly in the context of data I/O
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