SASE Cloud Software Engineer - AI & Backend

Hewlett Packard EnterpriseSan Jose, CA
$136,500 - $276,500Hybrid

About The Position

Hewlett Packard Enterprise (HPE) is a global edge-to-cloud company focused on advancing how people live and work. They help companies connect, protect, analyze, and act on their data and applications wherever they reside, from edge to cloud, enabling them to turn insights into outcomes. HPE Networking is redefining the "IT EDGE" by creating new customer experiences through intelligent spaces and digital workspaces, with a focus on campus, branch, mobility, and IoT. This role contributes to transforming business models with secure connectivity and intelligent solutions.

Requirements

  • 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.

Nice To Haves

  • Master's degree preferred.

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.

Benefits

  • Health & Wellbeing comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
  • Personal & Professional Development programs catered to helping you reach any career goals.
  • Unconditional Inclusion and flexibility to manage work and personal needs.
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