Distinguished Technologist, Distributed Systems & Agentic Query Optimization

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 sys tem level thinking and advanced AI-First coding .

- Proficient with AI-First spec driven rapid innov ation 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.

- 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.

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.