SASE Cloud Software Engineer - AI & Backend
Hewlett Packard Enterprise is hiring an SASE Cloud Software Engineer - AI & Backend in San Jose, United States. Level rates it ; you can apply on Hewlett Packard Enterprise.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include Copilot, Sd Wan and APIs.
- Level classifies it as a mid-level role.
- Level lists 1,700+ other open roles at Hewlett Packard Enterprise.
AI in this role
Develop backend services, APIs, and AI-driven workflows for SD-WAN orchestration and copilot capabilities at HPE.
This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
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.
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.
What We Can Offer You:
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#unitedstatesJob:
EngineeringJob 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 https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
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.
How we rate this
SASE Cloud Software Engineer - AI & Backend at Hewlett Packard Enterprise rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a workflow you automated with AI tools, end to end.
- How do you decide that one model's output is better than another's for a given task?
- Tell me about a project where backend development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI Automation, AI Evaluation, and Backend Development. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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