Hewlett Packard Enterprise Logo

Hewlett Packard Enterprise

Principal Integration Engineer - PCE (Houston, TX)

Posted An Hour Ago
Be an Early Applicant
In-Office
Spring, TX
152K-349K Annually
Expert/Leader
In-Office
Spring, TX
152K-349K Annually
Expert/Leader
Leads investigation and resolution of complex production issues across applications, APIs, cloud services, integrations, data pipelines, and factory systems. Designs resilient factory-to-cloud integrations, develops automation for operational workflows, performs root-cause analysis, and applies AI and LLM technologies to improve troubleshooting and support. Partners with engineering, manufacturing, operations, product, and customer success teams to improve reliability, scalability, and operational efficiency.
The summary above was generated by AI
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.

Hewlett Packard Enterprise San Jose, California, USA Office

San Jose, United States

Similar Jobs at Hewlett Packard Enterprise

An Hour Ago
In-Office
63K-145K Annually
Entry level
63K-145K Annually
Entry level
Artificial Intelligence • Cloud • Information Technology • Consulting
Designs and tests electrical and electronic hardware components, subsystems, integrated circuitry, and related engineering solutions. Conducts validation testing for tolerances, form, fit, function, EMI, safety, reliability, thermal performance, shock, vibration, and power. Collaborates with internal and outsourced development partners to deliver reliable, cost-effective hardware solutions. The role requires a local employee and primarily office-based work despite the stated hybrid designation.
Top Skills: Electrical Hardware DesignElectromagnetic Interference (Emi) TestingIntegrated CircuitryShock And Vibration TestingSystem Power MeasurementThermal Analysis
An Hour Ago
In-Office
San Jose, CA, USA
152K-349K Annually
Expert/Leader
152K-349K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads end-to-end strategy and operational roadmaps for complex HPC/AI products or portfolios. Defines value propositions, customer segments, business cases, market requirements, lifecycle strategies, and cross-functional alignment. Partners with engineering, supply chain, marketing, and other stakeholders to optimize product configuration, margins, pricing, market share, and go-to-market execution. Provides technical leadership, mentors teams, and drives innovation across ambiguous, high-impact initiatives.
Top Skills: AIHpc
An Hour Ago
In-Office
152K-349K Annually
Senior level
152K-349K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads complex production issue resolution, root-cause analysis, reliability improvements, system integrations, and operational automation across factory, cloud, and enterprise environments. Builds AI- and LLM-enabled capabilities for troubleshooting, incident response, knowledge management, and engineering productivity. Partners with Engineering, Manufacturing, Operations, Product, and Customer Success teams to improve scalability and reduce recurring incidents.
Top Skills: AgentsAIAPIsAutomationAWSAzureCi/CdCloud PlatformsDatabasesDistributed SystemsGCPGoJavaJavaScriptKubernetesLlmsMesMqttNetworkingObservabilityOpc UaPlcsPythonRagScadaTypescriptVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account