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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and popular backend title raise candidate density despite niche technical requirements.
Knowledge-graph, vector-store, and enterprise backend ownership limit cross-industry portability.
Senior-manager level and required knowledge-graph/vector-store expertise impose strict technical and leadership filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate data infrastructure and services powering AI-driven knowledge platform.
Own reliability and performance of back-end services used by application and product teams.
Work across full back-end stack including APIs, data pipelines, multi-modal database systems, and semantic technology.
Minimum Requirements
Experience with knowledge graph and semantic technologies.
Strong engineering fundamentals across relational schema design, graph queries, vector stores, and REST API development.
Work Experience Required: Not explicitly mentioned in the JD.
Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in architecting and managing enterprise-scale data ingestion, transformation, storage, and retrieval systems.
Comfortable operating across multiple database technologies including relational, graph, and vector stores.
Able to ensure high reliability and performance of backend services for AI and product teams.