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Strong funding and remote role increase applicant density, but senior/principal level and niche skills moderate competition.
Highly domain-specific distributed systems, Go, and security experience required, limiting cross-industry transferability.
Principal backend role requires deep Go, large-scale databases, and distributed systems expertise, so filters will be strict.
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Architect and optimize a large-scale, real-time, fault-tolerant backend system processing billions of AI-related events with sub-second latency.
Set technical direction and shape architecture decisions for securing data flow into and out of AI models, GenAI apps, and agents.
Implement end-to-end security features and build API-level connectors integrating with enterprise SaaS and AI/LLM platforms.
Significant work experience building and architecting large-scale backend systems; specific years not explicitly mentioned.
Strong hands-on experience developing large applications in Go.
Working knowledge of operating large-scale databases; experience with GCP services (BigTable, BigQuery, Spanner) is a plus.
Candidate must be based in India or the EU.
Proven ability to lead architecture and technical direction on complex backend systems with real-time processing requirements.
Experience with microservices, Kubernetes, distributed systems performance optimization and production software hardened for security.
Experience with integrations to enterprise SaaS and AI platforms and ability to mentor senior engineers while raising technical standards.