Note: The job is a remote job and is open to candidates in USA. Fluidstack is hiring a Software Engineer, Ontology to build systems that connect operational data, documents, and conversations into a timely, coherent source of business knowledge. The role focuses on entity modeling, change detection, authorized querying, evidence-backed signals, and measuring system quality.

Responsibilities

• Build the index and graph engine that connect Fluidstack’s operational data, documents, and conversations as new information arrives
• Define the entities, relationships, and identity rules that let teams contribute knowledge about sites, equipment, orders, and incidents
• Detect meaningful changes and publish evidence-backed signals when observed state diverges from plan
• Give engineers and agents fast, authorized ways to query the business, with clear provenance and freshness on every answer
• Measure change-to-knowledge latency, answer quality, and signal quality against real operational questions and events

Skills

• You've built and operated a foundational data system that multiple teams relied on to make decisions or run critical workflows
• You've made heterogeneous data sources work as one coherent model that people and software can rely on
• You've built data platforms with extensible models that let other teams bring new domains and questions into the system
• You've built systems that turn a continuous stream of changes into timely, reliable signals for operations
• You've worked directly with domain experts to define what their data means and which changes matter
• You've made hard calls between correctness, freshness, query speed, and access control, then revised those choices using production evidence
• Temporal data models (Datomic, EAVT)
• Search and retrieval over unstructured data
• Database or indexing internals
• Formal ontology and semantic web standards (RDF, OWL, SHACL, SPARQL)
• Physical infrastructure or inventory systems

Company Overview

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