Distributed Systems Architect

6 days ago

tiruppur, India beBeeCloudComputing Full time

Cloud Graph Computing EngineerThis is an opportunity to solve intricate technical challenges, from real-time large data processing to advanced analytics and optimisation on very large network graphs and interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence and promotes ethical decision-making.The role is a hands-on technical leadership position focused on architecting and implementing distributed graph computing solutions for a next-generation data intelligence platform using a microservices architecture.The successful candidate will lead the development of Entity Resolution and Network Generation services.The engineer is expected to be performance-obsessed, think in distributed systems, optimize for latency and throughput, and act as a self-directed technical leader who makes architectural decisions and implement them.This is a foundational role offering the unique opportunity to design, build, and steer a product from its inception, establishing yourself as a key architect in one of the world's leading Graph analytics platforms.Entity Resolution ServiceDesign and implement distributed entity resolution algorithms to process billions of records.Build blocking strategies optimized for Spark at scale.Create AI/ML based advanced matching with explainable AI.Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with sub-100ms latency requirements.Network Generation ServiceArchitect distributed graph generation pipelines using libraries such as GraphX/GraphFrames.Implement graph analytics algorithms such as PageRank, community detection, and centrality measures.Design storage strategies for multi-billion edge graphs in the cloud.Build temporal graph support for time-evolving networks.We are looking for someone who is motivated by challenge and excited about the opportunity to do build a solution dealing with trillions of data points and the associated complexity. The candidate should have 3+ years of experience in distributed computing and big data systems, 2+ years' experience in entity resolution and graph analytics at scale, and a strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures.

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