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Strong funding and remote role increase competition, but senior specialized principal reduces applicant pool.
Deep backend, Go, distributed-systems and security focus limits cross-industry transferability.
Requires deep backend, Go, distributed systems and security expertise, making filters stringent.
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Architect and optimize a scalable, fault-tolerant backend system processing billions of AI-related events in real time with sub-second latency.
Lead technical direction and architecture decisions for securing data in AI models, GenAI applications, and autonomous agents.
Design and implement end-to-end security features and scalable connectors integrating with enterprise SaaS and AI platforms.
Strong hands-on experience developing large backend applications in Go.
Experience operating large-scale databases; knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus.
Hands-on production experience with microservices and Kubernetes.
Work Experience Required: Not explicitly mentioned in the JD; candidate must be a senior engineer able to lead architecture decisions.
Proven track record extending architecture of backend systems used at scale rather than just delivering features.
Experience profiling and optimizing distributed systems handling large databases and streaming data.
Based in India or the EU with ability to communicate frequently with distributed teams in Europe and the US.