Architect & Build: Lead decisions for core infra, from storage to high-availability services.
Systems Optimization: Tune performance and internals for millisecond accuracy.
AI Infrastructure: Build Knowledge Platform with vector indexing and real-time data.
Distributed Systems at Scale: Own SDLC for petabyte-scale batch/streaming.
Engineering Rigor: Promote elite practices, tooling, SDKs, automation.
Mentorship: Mentor mid-level engineers and drive design reviews.

🎯 Requirements

5+ years building/operating large-scale distributed systems.
Strong CS fundamentals: distributed systems, memory, networking.
Proficient in Java, Kotlin, or Go; hands-on with Kafka, Flink, Spark, Kubernetes.
Ownership mindset: proven 0-1 ownership of complex challenges.
Curiosity & Impact: motivated to explore AI/ML infra and real-time systems.

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