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., * 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.

Software Engineering, Artificial Intelligence (AI), Cloud Computing, Hewlett-Packard Product Family, Analysis Skills, Cloud Computing, Customer Support/Service, Business Model, Customer Experience, Internet of Things, * 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.

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 CaliforniaThe listed salary range reflects base salary. Variable incentives may also be offered.”

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 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.