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High-Performance Graph Computing Expert
3 weeks ago
Expert Graph Computing Engineer
We are seeking an accomplished professional to design and implement large-scale graph intelligence systems. The successful candidate will be responsible for creating robust entity resolution algorithms, developing scalable graph databases, and optimizing data processing pipelines.
Responsibilities- Design and develop distributed graph computing systems for real-time analytics
- Implement entity resolution algorithms using machine learning techniques
- Collaborate with cross-functional teams to integrate graph databases with existing systems
- Develop and maintain high-performance data processing pipelines
- Optimize system scalability and reliability for billion-node graphs
The ideal candidate will possess a strong background in distributed systems, graph theory, and software engineering. They should have experience with languages such as Scala, Python, and Java, as well as familiarity with big data technologies like Apache Spark and Elasticsearch.
- 7+ years of experience in distributed computing and big data systems
- 5+ years specifically in entity resolution and graph analytics at scale
- Expert-level knowledge of graph databases and data processing pipelines
- Experience with microservices architecture and containerization
- Strong understanding of machine learning principles and their application in graph computing
- Competitive compensation package
- Flexible remote work arrangements
- Latest hardware and cloud resources for development
- Long-term incentive plan (LTIP)
- Technical screening on distributed systems and graph algorithms
- System design session on entity resolution at scale
- Coding session implementing a graph algorithm in Scala
- Architecture discussion with the team
- Final round with leadership
