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# Distinguished Technologist, Distributed Systems & Agentic Query Optimization

- **Company:** HPE, Inc.
- **Location:** Houston, TX, United States
- **Salary:** $194,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Adobe InDesign, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Information Systems, Data as a Services, Data Sharing, Data Systems, Distributed Data Store, Distributed Systems, Online Analytical Processing, Open Data Protocol, Query Optimization, Cloud Services, Parquet, Apache Spark, HybridCloud, AI Coding Agents, Agentic-AI, Build Management, Information Technology, Apache Kafka, Data Management, Software Coding, Golang, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/distinguished-technologist-distributed-systems-agentic-query-optimization-houston-tx--cde7a9d6-2eaf-421c-8809-0e3723177a01

## About the Role

Distributed Computing, Query Optimization, Distributed Computing, Query Optimization, Hewlett-Packard Product Family, Analysis Skills, Cloud Computing, Technical Strategy, Hybrid Cloud, Mentoring, * 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.

## Description

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office., 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., * 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.