Distinguished Technologist (Distributed Systems & Agentic Query Optimization)

Join HPE as a Distinguished Technologist in Cloud & Distributed Systems. In this senior technical role, you 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. This opportunity offers a hybrid work model, subsidized health insurance, retirement programs, and opportunities for personal and professional development.

• Architect and build large-scale distributed systems, federated data services, and customer-facing cloud services.
• Lead the development of customer-facing services that run on top of the platform, enabling cross-service capabilities.
• Define organization-wide architectures, methodologies, and roadmaps across multiple teams and products; communicate strategy and influence executive and product stakeholders.
• Proven ability to create and communicate technical roadmaps and to influence cross‑functional and executive stakeholders
• 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 with Spark, Kafka, Parquet, Go, Java
• Strong communicator able to present complex technical concepts to executive and non‑technical audiences
• Typically, 15+ years of experience in engineering and architectural leadership, designing, building, and operating large distributed systems and cloud platform services
• Experience designing and optimizing distributed query engines and low‑latency analytics systems
• Hands‑on coding experience in system design and architecture phases; comfort using modern development and AI‑assisted tools
• Comfortable taking broad ownership and driving projects that touch multiple teams and business units
• Deep knowledge of cloud‑native architecture and microservices at scale across public cloud environments (AWS/GCP/Azure) and hybrid scenarios
• Demonstrated experience operating at senior technical leadership levels (Principal, Distinguished Engineer, or equivalent), with a history of cross‑organization technical impact
• Large analytics engines or managed analytics services (BigQuery or equivalent)
• Proficient with AI-First spec driven rapid innovation converting ideas to working prototypes using the AI coding tools
• Strategic thinker who can translate long‑term vision into executable technical roadmaps