Build and evolve high-scale, resilient integrations (APIs, webhooks, streaming data) with

the broader security ecosystem, ensuring seamless interoperability at enterprise scale.

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Pioneer AI-Native integration patterns and innovations, moving beyond simple data

ingestion to implementing autonomous threat reasoning and automated security

orchestration.

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Resolve high frictions cases with customers and keen eye to find and resolve edge

cases.

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Develop scalable libraries and frameworks that allow our platform to speak the language

of thousands of enterprise security products through unified data models.

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Partner closely with R&D and Product teams to define the future of autonomous risk

management, and to prototype and deploy AI use cases that solve real-world security

challenges.

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Contribute to evolving the exist

5- 10 years of deep Python engineering expertise with a focus on building

production-grade, maintainable codebases. Cyber Security experience is a plus

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Deep networking fundamentals, including strong knowledge of TCP/IP and L3-L7

protocols.

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Experience with high-throughput, enterprise-scale distributed systems, Async and

synchronous programming.

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A product-minded approach: you don't just write code; you solve critical problems for our

customer base.

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Preferred: Hands-on experience with Kubernetes, Kafka/message queues, and

LLM-powered application development (RAG, agentic workflows).

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Bring a proactive "can-do" attitude combined with a mindset focused on continuous

learning and innovation.

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In accordance with our hybrid work policy, this position requires on-site office attendance

a few times each week.

Engineering Degree