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Tier-1 brand, generic fullstack title, metro location, and broad skillset make competition high.
Fullstack engineering skills are broadly transferable but networking/AI focus adds moderate domain specificity.
Explicit 1–2 year requirement plus mandatory UI and backend language skills enforce moderate shortlisting strictness.
Design and develop UI and backend software solutions for network performance monitoring and management.
Implement AI/ML analytics for automatic detection, correlation, and remediation of network events.
Build models for anomaly detection, predictive maintenance, and intelligent network automation.
Bachelor's or Master's degree in Computer Science or equivalent technical field.
1-2 years of relevant work experience in software development.
Proficiency in UI development and programming languages like Python or Go.
Onsite work requirement at an HPE office.
Experience with distributed systems, networking, databases, and operating systems, aligning with network monitoring products.
Familiarity with containerization and orchestration tools such as Docker, Kubernetes, and OpenStack.
Knowledge of automation and CI/CD tools like Ansible, Helm, and Jenkins for scalable deployments.