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Senior, niche principal platform role reduces applicant density despite broad startup appeal.
Requires deep platform, graph and compliance expertise, limiting industry transferability.
Multiple mandatory senior platform, AWS, and compliance requirements create strict shortlist filters.
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Own end-to-end architecture of Aiva platform including data model, APIs, production SLOs, and operational model.
Design and build hybrid retrieval layer (graph traversal, vector similarity, filters) meeting strict latency and throughput targets.
Lead hiring, mentoring, set engineering standards, and represent architecture in customer and partner engagements.
12+ years experience building backend/data platforms with principal-level ownership of multi-team or external customer platforms.
Hands-on expertise in at least two: graph databases (Neptune, Neo4j), vector search (OpenSearch k-NN, Pinecone, etc.), large-scale key-value/document stores, or event streaming (Kafka, Kinesis).
Strong distributed systems fundamentals including p99 latency design and consistency models.
Production AWS experience and security/compliance knowledge for enterprise data platforms.
Experienced in complex data platform architecture balancing trade-offs (graph vs vector, latency vs recall, tenancy isolation) with measurable impact.
Comfortable leading small high-leverage teams in a hands-on, code-first principal engineer role in an AWS-native environment.
Skilled in enterprise-grade security, multi-tenancy, and governance with experience handling regulated customers and sensitive data controls.