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Strong employer brand and Bangalore location increase applicant density despite senior platform specialization.
Role demands deep data-platform and distributed-systems expertise, limiting cross-industry portability.
Requires demonstrable distributed-systems and data-platform experience but has no explicit years or certification filters.
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Architect and build the core Enterprise Context Platform capturing decision memory including intent, rationale, and history.
Own context storage systems (graph, vector, event/time-based), data modeling, schemas, and read/write/query APIs interfacing with agents, products, and external apps.
Ensure platform security, auditability, interoperability, scalability, and correct permission-aware access across enterprise context data.
Significant experience building distributed systems, data platforms, or infrastructure.
Expertise in data modeling and schema design for shared platforms with strong API and backward compatibility skills.
Ability to operate in greenfield, ambiguous problem spaces and reason about end-to-end systems.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing shared platform architectures that serve multiple teams with secure, scalable APIs.
Comfortable leading greenfield foundational infrastructure projects impacting company-level analytics and decision systems.
Technical operating style focused on durable, auditable data storage and enabling complex agentic analytics workflows.