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In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and supporting our next-generation turnkey Private Cloud for Artificial Intelligence (PCAI) platform. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results.
Job Responsibility:
Guide and support both internal and external customers with PCAI platform solutions and workloads
Apply in-depth professional knowledge and innovative ideas to solve complex problems
Provide technical leadership for significant project/program work
Lead or participate in cross-functional initiatives and contribute to mentorship and knowledge sharing across the organization
Front line escalation support for PCAI core software stack called Artificial Intelligence Enterprise (AIE)
Collaborate with core engineering, COE and support counterpart and development partners
Support co-development and co-creation of joint solutions with partners like Deloitte, Accenture and other GSIs.
Requirements:
Bachelor's or master’s degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 10-15 years’ experience
Strong Kubernetes skills. Any or all of CKA/CKAD/CKS certifications
Strong knowledge of containerized platform like RHEL, Rockey OS etc.
Strong knowledge of modern analytics stack and tools like Apache Spark, Jupyter Notebooks, Tensorflow, R Studio.
Strong knowledge of data scientists and engineer’s workload workflow and related tools.
Desired programming skills in Python, Java, Golang
Strong Linux sysadmin skills
TCP/IP skills (must be able to troubleshoot using tcpdump and wireshark)
Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems.
Excellent written and verbal communication skills.