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Hewlett Packard Enterprise

Distinguished Technologist, Cloud & Distributed Systems

Reposted 23 Days Ago
Be an Early Applicant
In-Office
Houston, TX
170K-413K Annually
Expert/Leader
In-Office
Houston, TX
170K-413K Annually
Expert/Leader
The role involves architecting and building cloud-native distributed systems, leading technical strategy, mentoring teams, and ensuring the development of customer-facing services.
The summary above was generated by AI
Distinguished Technologist, Cloud & Distributed Systems

  

This role has been designed as ‘Hybrid’ with an expectation 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:

   

HPE is building a next‑generation platform services ecosystem that unifies multiple cloud‑native acquisitions into an integrated Hybrid Cloud services suite. This senior technical role will architect and build large‑scale distributed systems, federated data services, and customer‑facing cloud services. You will be a hands‑on technologist who shapes architecture, prototypes and ships high‑impact systems, mentors engineering teams, and helps define long‑term technical strategy across business units. 

Key responsibilities: 

  • Architect, design, and scale large cloud‑native distributed services and data platforms  

  • Design and build federated distributed query engines and data services to enable real‑time analytics, dashboards, and ML consumers. 

  • Lead the development of customer‑facing services that run on top of the platform (integration, data sharing, observability/analytics services), enabling cross‑service capabilities. 

  • Deliver hands‑on technical leadership: prototype, prototype‑validate, and implement solutions using modern development practices and tools, including AI‑assisted coding workflows. 

  • Define organization‑wide architectures, methodologies, and roadmaps across multiple teams and products; communicate strategy and influence executive and product stakeholders. 

  • Mentor and coach engineering teams, raise architectural and operational standards, and help select and develop future technical leaders. 

  • Collaborate with product, customer engineering, and support teams to ensure reliability, performance, and great user experience for customer‑facing services. 

  • Contribute to selection of technologies and frameworks, participate in design reviews, and guide cross‑organization implementation choices. 

  • This opportunity is open to those who can demonstrate system level thinking and advanced AI-First coding. 

Requirements: 

  • Proficient with AI-First spec driven rapid innovation converting ideas to working prototypes using the AI coding tools.  

  • Typically, 15+ years of experience in engineering and architectural leadership, designing, building, and operating large distributed systems and cloud platform services. 

  • Bachelor’s, Master’s, or PhD in computer science, engineering, information systems, or a related quantitative discipline preferred. 

  • Strong foundations in large‑scale data engineering (OLAP, distributed storage systems, open data formats) and experience with federated datasets. 

  • Experience designing and optimizing distributed query engines and low‑latency analytics systems. 

  • Deep knowledge of cloud‑native architecture and microservices at scale across public cloud environments (AWS/GCP/Azure) and hybrid scenarios. 

  • Hands‑on coding experience in system design and architecture phases; comfort using modern development and AI‑assisted tools. 

  • Proven ability to create and communicate technical roadmaps and to influence cross‑functional and executive stakeholders. 

  • Experience with Spark, Kafka, Parquet, Go, Java  

  • Large analytics engines or managed analytics services (BigQuery or equivalent) 

  • Demonstrated experience operating at senior technical leadership levels (Principal, Distinguished Engineer, or equivalent), with a history of cross‑organization technical impact. 

  • Strategic thinker who can translate long‑term vision into executable technical roadmaps. 

  • Strong communicator able to present complex technical concepts to executive and non‑technical audiences. 

  • Comfortable taking broad ownership and driving projects that touch multiple teams and business units. 

Additional Skills:

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#executive, #greenlakecloudplatform, #hybridcloud

Job:

Engineering

Job Level:

TCP_07

    

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 194,000 - 388,000 in Massachusetts // 194,000 - 412,500 in California // 170,000 - 412,500 in North Carolina & 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.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Top Skills

Ai Coding Tools
AWS
Azure
Cloud Native Architecture
GCP
Go
Java
Kafka
Microservices
Parquet
Spark

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