Associate Staff Engineer (Graph Data Engineer)
Johannesburg, South Africa
ZAR 464K-500K (estimate) Mid-level Full Time
Tasks
- Apply graph neural networks link prediction community detection and path analysis
- Architect deploy and operate TigerGraph clusters on AKS Kubernetes
- Build and manage enterprise knowledge graphs for analytics and GenAI
- Configure networking storage and security on AKS
- Deliver graph analytics for fraud detection financial crime customer intelligence network risk
- Design build and manage distributed graph infrastructure on Kubernetes
- Develop CI CD pipelines for graph applications and infrastructure
- Enable feature engineering using graph derived features
- Evaluate emerging graph and Kubernetes tools for roadmap development
- Implement graph based machine learning solutions
- Implement secure and performant data ingestion pipelines into TigerGraph
- Lead design and development of graph data models and algorithms
- Mentor teams on graph modeling GSQL and Kubernetes operations
- Monitor optimize system health cluster performance cost efficiency and model accuracy
- Optimize graph query performance using GSQL
- Oversee end to end graph solution architecture and integrations
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | API Development | Access Control | Active Directory | Autoscaling | Azure Active Directory | Batch Processing | CI/CD | Cloud Native | Cloud Native Architecture | Cluster management | Community Detection | Containerization | Data Ingestion | DevOps | Distributed Systems | Feature Engineering | GSQL | GenAI | Graph Neural Networks | Graph analytics | Knowledge graphs | Kubernetes | Link prediction | Machine Learning | Networking | Neural Networks | Orchestration | Path analysis | RAG | Real Time | Real-time Processing | Secrets management | Security | Storage | TigerGraph | Time processing
Education
Roles
Data Engineer | Engineer | Graph Data Engineer | Software Engineer
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