Principal Engineer – Network Performance, Automation And Ai/ml

Hewlett Packard Enterprise

Onsite
Kubernetes and cloud-native architectures
Distributed systems design and implementation
Networking concepts including routing protocols
Hewlett Packard Enterprise is seeking a Principal Engineer specializing in Network Performance, Automation, and AI/ML. The role, which requires extensive experience in application development and distributed systems, is primarily onsite and emphasizes a collaborative and innovative work culture

Job Summary

  • Design, develop, and maintain scalable, high-performance application platforms, architecting and implementing distributed systems using Kubernetes and cloud-native technologies.
  • Build reliable, fault-tolerant services with a strong focus on performance, scalability, and resiliency, applying deep understanding of networking concepts and leveraging operating system fundamentals.
  • Hewlett Packard Enterprise offers a comprehensive suite of benefits for health and wellbeing, invests in personal and professional development, and fosters an unconditionally inclusive culture.

Matching Summary

Match Score: 85

Hewlett Packard Enterprise is seeking a Principal Engineer specializing in Network Performance, Automation, and AI/ML. The role, which requires extensive experience in application development and distributed systems, is primarily onsite and emphasizes a collaborative and innovative work culture.

Skills & Requirements

Must-have

  • Kubernetes and cloud-native architectures
  • Distributed systems design and implementation
  • Networking concepts including routing protocols
  • Object-oriented programming in Python or Go
  • System debugging and performance tuning

Nice-to-have

  • Platform or infrastructure-adjacent applications
  • Large-scale, multi-tenant systems
  • Technical leadership or architecture roles
  • Security-First Mindset
  • Design Thinking

Key Requirements

  • 12-15 years of hands-on experience in application development
  • Strong experience with Kubernetes
  • Proven expertise in distributed systems
  • Solid understanding of networking concepts
  • Strong knowledge of databases
  • Good understanding of operating systems concepts
  • Proficiency in Python, Go, or other OOP languages

Work Rights

Not specified

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