About the position
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. HPE’s Private Cloud AI organization is looking for a Principal Software Engineer to support our AI Essentials product. HPE AI Essentials is a software solution within HPE's Private Cloud AI platform designed to accelerate AI productivity and streamline AI operations. In this role, you will have the opportunity to develop major aspects of our product: you will be expected to take on difficult problems that don’t have clear solutions, and to design, build, and iterate until we’ve reached elegant solutions that delight our customers. Along the way, you will work in a supportive and collaborative environment, with the opportunity to contribute across the stack based on your interests and experience.
Responsibilities
- Collaborate with geographically distributed cross-functional teams (Product, Engineering, QA) to deliver technical solutions that align with business goals
- 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
- Develop innovative automated solutions to accelerate software engineering practices working along with partner teams (DevOps, Engineering, QA, GTM)
- 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.
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)
- Knowledge about distributed systems, microservice design
- Knowledge about Kubernetes CNI
Nice-to-haves
- Cloud Architectures
- Cross Domain Knowledge
- Design Thinking
- Development Fundamentals
- DevOps
- Distributed Computing
- Microservices Fluency
- Full Stack Development
- Release Management
- Security-First Mindset
- User Experience (UX)
Benefits
- Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
- Personal & Professional Development: Programs catered to helping you reach any career goals you have.
- Unconditional Inclusion: A culture that celebrates individual uniqueness and values varied backgrounds.
