SASE Cloud Software Engineer - AI & Backend

SASE Cloud Software Engineer - AI & BackendThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

HPE Networking advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.

HPE Networking is redefining the “IT EDGE” by creating new customer experiences through intelligent spaces and digital workspaces. We are focused on campus, branch, mobility, and IoT—transforming business models with the combined power of compute, context, control, and secure connectivity.

This is a hybrid role; the selected candidate is expected to work at least 2 days per week from the HPE office in San Jose, CA.

Key Responsibilities

• Develop and enhance features for the HPE EdgeConnect Orchestrator web application supporting SD-WAN deployments.
• Design and build scalable backend services and APIs for orchestration, monitoring, and network management.
• Implement and integrate AI-driven workflows (“skills”) that interact with backend systems and data sources.
• Contribute to Copilot capabilities for use cases such as troubleshooting, documentation assistance, and analytics.
• Work with data platforms (e.g., analytics databases, telemetry systems) to enable real-time insights.
• Write and maintain unit, integration, and white-box tests to ensure quality and reliability.
• Participate in debugging, RCA, and performance optimization across backend and AI workflows
• Collaborate with cross-functional teams (engineering, QA, product management) in a distributed environment.
• Contribute to design and architecture decisions with focus on scalability, performance, and security.

Required Qualifications

• This is a hybrid role; the selected candidate is expected to work at least 2 days per week from the HPE office in San Jose, CA.
• 5+ years of experience in Java and/or Python-based backend software development.
• 5+ years of experience designing and developing REST APIs and microservices-based architectures.
• 2+ years of hands-on experience building, integrating, or deploying AI/LLM-powered applications, Copilot solutions, or intelligent automation workflows.
• Experience with prompt engineering, Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration, and LLM evaluation techniques.
• Strong experience with database design and development using SQL and/or NoSQL technologies.
• Experience building scalable, cloud-native applications on AWS, Azure, or similar cloud platforms.
• Familiarity with modern web technologies including JavaScript, React, and Node.js.
• Strong problem-solving, troubleshooting, and debugging skills in large-scale production environments.
• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; Master's degree preferred.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

#unitedstates

Job:

Engineering

Job Level:

TCP_03

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.