Hewlett Packard Enterprise is looking for a Principal Software Engineer to support their AI Essentials product, which is part of the HPE's Private Cloud AI platform. The goal is to accelerate AI productivity and streamline AI operations by designing and building elegant solutions for complex problems.
Requirements
- Expert level proficiency in Linux and Kubernetes Platform architectures
- Prior experience with Kubernetes Storage related design/architectures (CSI, Persistent Volumes)
- Deep understanding of backup/restore technologies and products
- Excellent analytical, debugging and problem-solving abilities
- Strong knowledge of container architectures including Docker, Cri-o, Preferred
- Experience with Virtualization (VMWare/KVM)
- Expert level proficiency with at least one cloud platform (AWS, Azure, GCP)
Responsibilities
- Architect, design, and develop highly scalable and resilient AI Essentials platform features and solutions, focusing on cloud-native principles
- Troubleshoot and resolve complex issues spanning Kubernetes, Server, Storage, Networking, and Cloud domains
- Design and develop backup/restore strategies and solutions for the AI Essentials platform use-cases
- Mentor and guide engineers, conduct code reviews, and foster a culture of technical excellence and continuous improvement.
Other
- This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
- Minimum of 12 years of experience in Software Engineering
- Degree in Computer Science or related field
- The primary work location is as listed; however, remote work options will be considered.
