You won't just build connectors; you will design the foundation of our integration layer. You will bridge the gap between legacy security stacks and cutting-edge AI-native agents, creating a unified framework where data interoperability meets autonomous reasoning.
This is a role for a hardened technical engineer who thrives on complexity and demands architectural excellence.
You will be a key driver in transforming our integration factory into a self-service, high-performance platform capable of orchestrating security at a global scale.
Design and evolve highly resilient, distributed integration architectures (APIs, webhooks, streaming data pipelines) that can handle enterprise-scale throughput with sub-par latency.
Pioneer AI-Native Systems: Lead the shift from ingestion-only integrations to autonomous security orchestration, integrating LLM-based reasoning and agentic workflows into our core product stack.
Expert-level proficiency in Python, with a deep understanding of memory management, concurrency models, and performance optimization.
Mastery of networking fundamentals (TCP/IP, L3-L7 protocols) and security infrastructure.
Expert at building highly available, fault-tolerant, and horizontally scalable distributed architectures (Kafka, message queues, microservices).
Demonstrated experience or a deep desire to master LLM-powered application development (RAG, agentic workflows, loop engineering).
Experience: Senior-level · 15+ years · Job type: Full-time
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