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Hewlett Packard Enterprise

Principal Integration Engineer - PCE (Houston, TX)

Hewlett Packard Enterprise is hiring a Principal Integration Engineer - PCE (Houston, TX). Level rates it ; you can apply on Hewlett Packard Enterprise.

Level's read on this job

  • On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting allows some remote work.
  • Tools and skills the posting cites include LLMs, APIs and Cloud Services.
  • Level classifies it as a senior role.
  • Level lists 1,700+ other open roles at Hewlett Packard Enterprise.

AI in this role

Principal integration engineer designing resilient systems and leveraging AI/LLM technologies to build AI-driven operations and automation.

llmsapiscloud-services
ragsystems-integrationautomationroot-cause-analysisreliability-engineeringincident-response
Principal Integration Engineer - PCE (Houston, TX)

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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:

Why This Role Matters

Help us build the future of AI-driven operations. Our team designs, delivers, and supports mission-critical private cloud and engineered systems solutions that power some of the world's most demanding enterprise environments. In this role, you will help transform support from a reactive function into a proactive, AI-enabled engineering capability by improving reliability, building resilient integrations, automating operational work, and preventing issues before they impact customers.

What You'll Do

  • Lead investigation and resolution of complex production issues across applications, APIs, cloud services, integrations, data pipelines, and factory systems.
  • Perform root-cause analysis and drive permanent fixes that improve reliability at scale.
  • Design, build, and support integrations between factory environments, cloud platforms, internal systems, and third-party applications.
  • Develop automation that reduces manual effort across onboarding, diagnostics, deployments, monitoring, and support.
  • Leverage AI and LLM technologies to improve troubleshooting, incident response, knowledge management, and operational efficiency.
  • Partner across Engineering, Manufacturing, Operations, Product, and Customer Success to solve high-impact business problems.

What Success Looks Like

  • Become a trusted escalation point for our most challenging technical issues.
  • Improve the reliability and scalability of our factory-to-cloud ecosystem.
  • Reduce recurring incidents through automation and root-cause elimination.
  • Build AI-powered capabilities that improve engineering and support productivity.
  • Help create a more proactive, intelligent, and highly automated operating model.

What You Bring

Required

  • 10+ years in software engineering, sustaining engineering, integration engineering, SRE, production engineering, or a related role.
  • Strong troubleshooting skills across cloud platforms, distributed systems, APIs, integrations, and production environments.
  • Experience with Python, JavaScript/TypeScript, Go, Java, or similar technologies.
  • Experience with databases, monitoring, logging, networking, and automation.
  • Strong communication, collaboration, and problem-solving skills.

Preferred

  • Manufacturing, factory, IoT, edge, or operational technology experience.
  • Experience with Azure, AWS, or GCP.
  • Familiarity with MQTT, OPC UA, SCADA, MES, PLCs, or similar technologies.
  • Kubernetes, CI/CD, observability, and modern DevOps practices.
  • Experience with AI, LLMs, agents, RAG, vector databases, or AI-powered engineering tools.

The Ideal Candidate

You're a builder, problem solver, and relentless optimizer. You naturally look for patterns, automate repetitive work, and challenge inefficient processes. You see AI not as a buzzword, but as a powerful tool for creating smarter systems, faster decisions, and better outcomes.

If you're excited about helping build the next generation of AI-driven operations supporting mission-critical private cloud and engineered systems, we'd love to hear from you.

Accessibility


HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.


Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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.

#unitedstates

#hybridcloud

Job:

Engineering

Job Level:

TCP_05

"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 152,000 - 349,000 in Texas
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

Principal Integration Engineer - PCE (Houston, TX) at Hewlett Packard Enterprise rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

RAGSystems IntegrationAutomationRoot Cause AnalysisReliability EngineeringIncident ResponseLLMsAPIs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a project where systems integration was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where root cause analysis was part of your work. What did you do?
  5. Tell me about a project where reliability engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, Systems Integration, Automation, Root Cause Analysis, and Reliability Engineering. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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