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Strong employer brand, generalist fullstack title, metro location, and broad skill requirements increase competition.
Core fullstack skills are transferable, though networking and AI/ML focus adds some domain specificity.
Explicit 1-2 year requirement plus mandatory language and systems skills imply moderate filtering.
Design, develop, and optimize UI and software solutions for network monitoring, troubleshooting, and performance management.
Implement AI/ML-driven analytics for automatic detection, correlation, and remediation of network events.
Build models for anomaly detection, predictive maintenance, and intelligent automation of network operations.
Education: BE or MS in Computer Science or equivalent technical degree.
Experience: 1-2 years in software engineering or relevant development roles.
Technical skills: UI development experience; proficiency in Python, Go, or other OOP languages; good understanding of distributed systems, networking, databases, and operating systems.
Work location: Onsite work primarily from an HPE office.
Experience working with distributed systems and network performance monitoring products with an emphasis on scalability and reliability.
Technical proficiency in AI/ML applications for network analytics and automation.
Familiarity with containerization (Docker, Kubernetes), cloud platforms (OpenStack), and CI/CD/automation tools (Ansible, Helm, Jenkins) preferred.