Professional Services Engineer

March 11

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DDN

DDN is a global leader in AI data intelligence platforms, providing high-performance data management solutions designed to optimize and accelerate AI and computing tasks. With over two decades of experience, DDN specializes in delivering cutting-edge technology for data-intensive applications across various industries, including healthcare, financial services, and telecommunications. Their comprehensive solutions include state-of-the-art hardware and software systems that empower enterprises to effectively manage complex datasets and drive innovation through artificial intelligence.

Artificial Intelligence • Data Storage • Machine Learning • Analytics • Enterprise AI

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💳 Fintech

💰 $10M Funding Round on 2011-06

📋 Description

• Install, optimize DDN’s High-Performance Storage “EXAScaler” solutions for Prospects and Customers in the region. • Train Partner and End-User on the EXAScaler Solution that has been deployed. • Benchmark the said EXAScaler Storage Solution with industry-standard HPC I/O tools. • Troubleshoot, when necessary, I/O errors at the file level and at the block level. • Provide post-implementation support for customers to solve technical issues on storage hardware and software products. • Develop innovative, customized solutions to meet customers’ business needs. • Clearly communicate complex technical topics to the varied knowledge levels of external customers. • Manage customer relationship post-sale to ensure the highest caliber customer satisfaction. • Collaborate with sales and engineering teams for problem resolution. • Share best practices with Technical Support Center staff and learn about new technologies and storage applications.

🎯 Requirements

• Exceptional customer service skills. • Gain knowledge and expertise through hands-on experience, self-study, and through a variety of training and learning environments. • Ability to multi-task and manage competing priorities, ensuring all objectives are accomplished. • Good understanding of the technical fundamentals of the system infrastructure including open system platforms (especially Linux) and networking. • Excellent troubleshooting skills. • Very good command of Linux OS (RHEL Certification is required). • Experience with any of the following is much appreciated: Python, Pearl, Shell. • Experience with Storage systems. • Experience with Lustre or another Parallel File System is highly appreciated.

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