Sr Software Engineer - Cybersecurity Integrations (Armis)

This isn’t a role for someone who just builds standard API connectors.

As a Cybersecurity Integration Engineer (Conventional and AI native), you will be bridging the gap between conventional security stacks and next-generation, AI-driven insights.

You will design and deploy standard integrations and intelligent agents that do more than move data; they transform raw, fragmented telemetry into a cohesive, actionable risk posture.

You will be the creator of automated reasoning within our integration layer, ensuring that our customers don’t just have data—they have the right insights and actionable intelligence.

You will work alongside the team to redefine and transform how integration is developed in Armis.

Impact: What You’ll Do Build and evolve high-scale, resilient integrations (APIs, webhooks, streaming data) with the broader security ecosystem, ensuring seamless interoperability at enterprise scale.

Pioneer AI-Native integration patterns and innovations, moving beyond simple data ingestion to implementing autonomous threat reasoning and automated security orchestration.

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

Develop scalable libraries and frameworks that allow our platform to speak the language of thousands of enterprise security products through unified data models.

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.

Contribute to evolving the existing integration factory into a self-service, low-code/no-code platform.

Requirements 5- 10 years of deep Python engineering expertise with a focus on building production-grade, maintainable codebases.

Cyber Security experience is a plus Deep networking fundamentals, including strong knowledge of TCP/IP and L3-L7 protocols.

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

A product-minded approach: you don’t just write code; you solve critical problems for our customer base.

Preferred: Hands-on experience with Kubernetes, Kafka/message queues, and LLM-powered application development (RAG, agentic workflows).

Bring a proactive "can-do" attitude combined with a mindset focused on continuous learning and innovation.

In accordance with our hybrid work policy, this position requires on-site office attendance a few times each week.