Architect and optimize a large-scale, fault-tolerant system handling billions of AI events in real time.
Set technical direction for securing data flowing into/out of AI models and GenAI tools.
Architect and implement security features protecting customer data end-to-end.
Solve real-world scaling problems with performance analysis and troubleshooting.
Work with a microservices stack: Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker.
Design connectors that integrate at the API level with SaaS and GenAI platforms.

🎯 Requirements

Strong track record building backends used at scale and shaping architecture.
Deep hands-on experience developing large Go applications.
Operated large-scale databases; knowledge of GCP BigTable/BigQuery/Spanner a plus.
Experience profiling and optimizing distributed code with large DBs and streaming.
Hands-on production experience with microservices and Kubernetes.
Based in India or the EU with strong English for distributed teams.

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