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Tier-1 brand and Bangalore location increase applicant density, but specialized networking automation narrows the pool.
Highly domain-specific networking and protocol knowledge reduces cross-industry transferability.
Requires deep networking protocol expertise, Python automation, and traffic-generation tooling, making filters strict.
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Design and build large-scale network topologies to validate software releases meeting global deployment performance standards.
Lead root cause analysis of field issues and develop test strategies collaborating with field engineers and customers.
Develop and maintain modular Python automation frameworks and integrate AI-based testing to enhance test execution and predictive analysis.
In-depth knowledge of IP fundamentals including ARP, ICMP, TCP/UDP, DNS, DHCP, and IP Routing protocols like BGP, OSPF, RIP, MPLS plus Multicast protocols such as IGMP and PIM.
Proficiency in Python with experience building modular test automation frameworks; exposure to AI/ML-based testing techniques.
Hands-on experience with network simulation/traffic generation tools like Spirent or IXIA.
Work Experience Required: Not explicitly mentioned in the JD; Role primarily based onsite at an HPE office in India.
Experienced network solutions engineer with deep architectural understanding of network systems and real-world deployment scenarios (Service providers, Telco, Cloud, Data Center).
Skilled in translating complex deployment architectures into test strategies and effectively communicating technical issues to both technical teams and customers.
Demonstrated expertise in automation innovation with a focus on reducing manual testing via Python and AI-driven approaches; holding certifications like JNCIE or CCIE is advantageous but not mandatory.