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Tier-1 employer and Bangalore metro increase applicant density despite niche networking+AI requirements.
Strong product and networking domain expertise plus vendor certifications limit cross-industry transferability.
Explicit 7–10 years requirement plus Aruba/Juniper certifications and specialized networking+ML skills.
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Drive AI and machine learning applications on HPE Networking products (Aruba, Juniper) to generate predictive and prescriptive analytics that improve network support operations and customer outcomes.
Develop, test, and maintain AI-driven automated workflows and analytics solutions that enhance case management, incident resolution, and support process efficiency.
Serve as a technical expert in HPE Networking support processes and leverage this expertise to identify and implement automation opportunities to reduce manual effort and accelerate support response.
Bachelor's or master's degree in computer science, engineering, IT, networking, or related discipline.
7–10 years of experience in network engineering, support operations, AI/ML, or related technical field.
Proven expertise and certifications in Aruba and/or Juniper networking technologies including routing, switching, security, wireless, SD-WAN, and platforms like Juniper MX/PTX/QFX/ACX and Aruba ClearPass/Central/Silver Peak.
Must be willing and able to work primarily onsite at an HPE office (onsite role).
Experienced individual contributor with deep domain knowledge in HPE Networking and support operations who operates independently with minimal supervision.
Strong background in AI-driven network support enhancements combining hands-on technical skills with knowledge of support workflows and SLA management.
Skilled in using analytics and visualization tools (Salesforce, Power BI, Tableau) to translate data into actionable insights and improvements for engineering and leadership stakeholders.