Job SummaryWe're looking for an Intermediate Graph Developer to help build a next-generation semantic graph data platform - a "digital twin" layer for buildings, equipment, and their relationships.
This platform will power AI-assisted querying and insights by ingesting RDF-based semantic data, exposing it through APIs and query interfaces, and supporting both cloud and on-prem deployments (with future extensibility to edge environments).
Duties and ResponsibilitiesGraph Data & Semantic Modeling- Design and evolve a labeled graph model for entities, relationships, and properties
- Apply RDF, JSON-LD, and built-environment ontologies
- Extend domain models as needed for real-world building systems
Storage Layer & Performance- Work with graph databases or RDF stores
- Enable efficient traversal queries across large, multi-building datasets
- Ensure scalable and portable architecture
RDF Ingestion & Validation- Implement ingestion for Turtle, JSON-LD, and RDF/XML formats
- Maintain triple integrity and query ability after import
- Add robust error handling and optional SHACL validation
- Support incremental ingestion workflows
Query Interface- Build and validate a SPARQL-compatible (or equivalent) query endpoint
- Support multi-hop queries and scoped aggregation (per-building vs global)
- Enable natural follow-up query patterns (e.g., narrowing results by floor or system type)
REST API Development- Create clean, well-documented REST endpoints for entity access and CRUD operations
- Support JSON-LD and pagination for large datasets
Security & Permissions- Integrate external identity/authorization systems
- Enforce consistent access control across APIs and query layers
Data Updates & Enrichment- Build event-driven update mechanisms
- Support AI-assisted classification and enrichment with provenance tracking
Attachments & Metadata- Link documents and media (PDF, DWG, images, spreadsheets, etc.) to graph entities
- Store and expose searchable metadata for attachments
Deployment & Operations- Deliver containerized services (Docker Compose + Kubernetes-ready)
- Support AWS/GCP + on-prem deployments
- Implement health checks, TLS, and environment-based configuration
Required Skills and Abilities- 3+ years of backend software engineering experience building data-intensive services
- Experience in Python object-oriented programming (OOP), Terraform Infrastructure as Code (IaC), and Amazon Web Services (AWS) cloud services
- 1-2+ years of experience with graph databases, RDF triple stores, or semantic systems
- Working knowledge of RDF, JSON-LD, URIs, and SPARQL (or equivalent graph query patterns)
- Experience building REST APIs with clear contracts and robust error handling
- Experience deploying services on AWS or GCP, with interest in on-prem deployments
- Strong performance mindset, including indexing, query profiling, and debugging slow queries
Preferred Skills and Abilities- Familiarity with building and equipment domain modeling, including spaces, equipment, points, and relationships
- Experience with SHACL validation and RDF ingestion pipelines
- Experience designing multi-environment systems (cloud, on-prem, edge) with consistent APIs and feature gating
- Exposure to AI-enabled data systems, including agents, retrieval systems, provenance, and grounding strategies
Work Location: Hybrid (3 days on-site, 2 days remote)
City: Surrey
Type: Full-time, Permanent
Salary: $95,000 to $120,000 CAD
This range reflects the minimum and maximum target payable for the base salary of new hires across all Canadian locations. Actual compensation may vary outside this range and is dependent on various factors.
