Description

You will lead the implementation of GraphDB-based products and provide technical solutions for a global client base.

This role is remote.

Responsibilities

• Design efficient graph schemas for fraud detection, recommendation engines, and knowledge graphs.
• Collaborate with engineering teams to diagnose and resolve complex technical problems.
• Optimize graph performance through indexing strategies, partitioning, and query tuning.
• Create and maintain public documentation, internal knowledge base articles, and FAQs.
• Participate in an on-call rotation to provide 24/7 support coverage.

Required Skills

• 5+ years in a Solution Lead role on data-based software products.
• 4+ years with Neo4j or similar graph database systems, including nodes, edges, and relationships.
• 3+ years of experience with SQL for querying, performance tuning, and debugging.
• 3+ years hands-on experience with Kafka, ZooKeeper, and Spark.
• 2+ years using Bash and Python for automation and task management.
• Proficiency in TCP/IP, load balancing strategies, and network troubleshooting.
• Experience with monitoring tools such as Grafana, Datadog, or Prometheus.
• Strong understanding of data normalization versus denormalization in graph structures.
• B.Tech in Computer Engineering, Information Technology, or related field.

Preferred Skills

• Experience with Graph Machine Learning (GML), Graph Neural Networks (GNNs), or Neo4j Graph Data Science.
• Experience with time-series or temporal graph databases.

Key Skills

Education

Any Graduate