Distinguished Technologist, Distributed Systems – Agentic Query Optimization

Hewlett Packard Enterprise

Lead technology solutions and infrastructure for HPE's next-generation platform services ecosystem. Architect large-scale distributed systems with a focus on cloud-native innovations.

Posted 7/3/2026full-timeSan Jose • California, Massachusetts, North Carolina, Texas • 🇺🇸 United StatesSeniorLead💰 $194,000 - $412,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDistributed SystemsGoGoogle Cloud PlatformJavaKafkaMicroservicesSpark

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Distributed Query EnginesLow-Latency Analytics SystemsOLAPSparkKafkaParquetGoJavaCloud Platforms (AWS/GCP/Azure)Microservices

Soft Skills

Strong CommunicationMentoringStrategic ThinkingCollaborationInfluencing Stakeholders

Certifications

Bachelor’s DegreeMaster’s DegreePhD in Computer Science or Related Discipline