Veyrai AI Preparation Recommendation
Generate a role-specific roadmap and practice voice technical interviews calibrated to Hewlett Packard Enterprise (HPE).
Original Source: Admin Created
About the Role
1. Join HPE's Network Performance Monitoring, Automation & AI/ML team as a Fullstack Developer.
2. Design, develop, and optimize user interfaces and software solutions for network monitoring, troubleshooting, and performance management.
3. Implement AI/ML-driven analytics to detect, correlate, and automatically resolve network events.
4. Develop models for anomaly detection, predictive maintenance, and intelligent network automation.
5. Collaborate with engineering teams to build reliable, scalable, and intelligent distributed systems.
Key Responsibilities
- Design and develop UI and software solutions.
- Build network monitoring and performance management features.
- Implement AI/ML-driven analytics and automation.
- Develop anomaly detection and predictive maintenance models.
- Participate in code reviews and technical problem-solving.
- Contribute to scalable and reliable distributed systems.
Eligibility & Required Qualifications
- BE or MS in Computer Science or an equivalent technical degree.
- 1–2 years of relevant experience.
- Experience in UI development.
- Understanding of distributed systems, networking, databases, and operating systems.
Required Technical Skills & Tools
PythonGoObject-Oriented ProgrammingUI DevelopmentDistributed SystemsNetworkingDatabasesOperating SystemsAI/ML
Preferred Qualifications
- Familiarity with Docker, OpenStack, and Kubernetes.
- Knowledge of network monitoring tools.
- Exposure to Ansible, Helm, Jenkins, and CI/CD frameworks.
- Familiarity with AI coding assistants such as GitHub Copilot.
Benefits & Perks
- Health and wellbeing support.
- Personal and professional development opportunities.
- Career growth and learning programs.
- Inclusive and collaborative work environment.
Hewlett Packard Enterprise (HPE)
TechnologyHewlett Packard Enterprise (HPE) technology company careers.
Headquarters:India / Global
Company Size:1,000+ employees
Interview Readiness
Practice for Hewlett Packard Enterprise (HPE) with Sub-200ms Voice AI
Experience the actual verbal pressure of high-bar engineering interviews. Veyrai listens to your code explanations and interrogates system edge cases.