Senior Data Infrastructure Engineer

Job summary

Early-stage venture seeking a Data Infrastructure Engineer to build an ontology-driven context engine. This role involves owning the data path, including ingestion, ontology materialization, identity matching, and ensuring data reliability and freshness. The ideal candidate thrives in ambiguity, can contribute to tech stack decisions, and is passionate about building robust data infrastructure.

Benefits

Qualifications

• Comfortable discussing tech stack nuances and complexities of new projects
• Possess a strong temperament
• Thrive in ambiguity
• Able to hold own in technical debate
• Self-starter, does not need everything handed over
• Experience with data infrastructure or distributed systems
• Ability to build and ensure correctness of systems
• Identify failure modes, design guarantees, and prove their validity
• Enjoy deep technical work
• Stress-test own work and identify weaknesses
• Understand lower-level systems and frameworks
• Understand ontology and knowledge graphs
• Comprehend the importance of serving structured, connected context to AI and data systems
• See the bigger picture of infrastructure capabilities
• Must be a Green Card holder at a minimum

Responsibilities

• Own the data path up to and including the serve layer
• Manage ingestion, ontology materialization, identity matching
• Oversee cold (object storage) and warm (on-disk + cache) tiers
• Implement versioning and reliability
• Harden the cold-to-warm materialization pipeline
• Design versioning and a "never serve stale data" guarantee
• Ensure identity-matching correctness and consistency as data refreshes
• Address concurrency, race conditions, and reliability under real load

Skills

Relocation